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Last updated on 2026-09-21 11:51:44 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.2.0 | 9.62 | 144.80 | 154.42 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 1.2.0 | 6.50 | 102.55 | 109.05 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 1.2.0 | 103.32 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 1.2.0 | 7.00 | 108.92 | 115.92 | ERROR | |
| r-devel-windows-x86_64 | 1.2.0 | 16.00 | 148.00 | 164.00 | ERROR | |
| r-patched-linux-x86_64 | 1.2.0 | 9.24 | 132.42 | 141.66 | OK | |
| r-release-linux-x86_64 | 1.2.0 | 9.65 | 131.64 | 141.29 | ERROR | |
| r-release-macos-arm64 | 1.2.0 | 4.00 | 36.00 | 40.00 | OK | |
| r-release-macos-x86_64 | 1.2.0 | 10.00 | 149.00 | 159.00 | OK | |
| r-release-windows-x86_64 | 1.2.0 | 14.00 | 138.00 | 152.00 | OK | |
| r-oldrel-macos-arm64 | 1.2.0 | 4.00 | 37.00 | 41.00 | OK | |
| r-oldrel-macos-x86_64 | 1.2.0 | 10.00 | 156.00 | 166.00 | OK | |
| r-oldrel-windows-x86_64 | 1.2.0 | 20.00 | 172.00 | 192.00 | OK |
Version: 1.2.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [20s/26s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(eventstudyr)
>
> test_check("eventstudyr")
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Attaching package: 'data.table'
The following object is masked from 'package:base':
%notin%
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Saving _problems/test-EventStudyFHS-113.R
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
Saving _problems/test-EventStudyOLS-116.R
Saving _problems/test-EventStudyOLS-278.R
NOTE: 300 observations removed because of NA values (RHS: 300).
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead1. To specify a different proxyIV use the proxyIV argument.
Smoothest path note: The lowest order such that a polynomial is in confidence region is 1.
Saving _problems/test-EventStudyPlot-230.R
Smoothest path note: The lowest order such that a polynomial is in confidence region is 4.
Smoothest path note: The lowest order such that a polynomial is in confidence region is 6.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
[ FAIL 4 | WARN 111 | SKIP 0 | PASS 455 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-EventStudyFHS.R:113:5'): FE = TRUE,
TFE = FALSE,
cluster = TRUE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_EventStudyFHS_example$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyOLS.R:116:5'): FE = TRUE,
TFE = FALSE,
cluster = TRUE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_test_EventStudyOLS$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyOLS.R:278:5'): FE = TRUE,
TFE = FALSE,
cluster = FALSE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_test_EventStudyOLS$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyPlot.R:230:5'): computed smoothest path for examples is within expectations ──
Expected `p$data$smoothest_path` to equal `matrix(rep(0, nrow(p$data)))`.
Differences:
`dim(actual)` is absent
`dim(expected)` is an integer vector (16, 1)
[ FAIL 4 | WARN 111 | SKIP 0 | PASS 455 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 1.2.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [14s/19s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(eventstudyr)
>
> test_check("eventstudyr")
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Attaching package: 'data.table'
The following object is masked from 'package:base':
%notin%
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Saving _problems/test-EventStudyFHS-113.R
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
Saving _problems/test-EventStudyOLS-116.R
Saving _problems/test-EventStudyOLS-278.R
NOTE: 300 observations removed because of NA values (RHS: 300).
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead1. To specify a different proxyIV use the proxyIV argument.
Smoothest path note: The lowest order such that a polynomial is in confidence region is 1.
Saving _problems/test-EventStudyPlot-230.R
Smoothest path note: The lowest order such that a polynomial is in confidence region is 4.
Smoothest path note: The lowest order such that a polynomial is in confidence region is 6.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
[ FAIL 4 | WARN 111 | SKIP 0 | PASS 455 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-EventStudyFHS.R:113:5'): FE = TRUE,
TFE = FALSE,
cluster = TRUE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_EventStudyFHS_example$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyOLS.R:116:5'): FE = TRUE,
TFE = FALSE,
cluster = TRUE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_test_EventStudyOLS$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyOLS.R:278:5'): FE = TRUE,
TFE = FALSE,
cluster = FALSE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_test_EventStudyOLS$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyPlot.R:230:5'): computed smoothest path for examples is within expectations ──
Expected `p$data$smoothest_path` to equal `matrix(rep(0, nrow(p$data)))`.
Differences:
`dim(actual)` is absent
`dim(expected)` is an integer vector (16, 1)
[ FAIL 4 | WARN 111 | SKIP 0 | PASS 455 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 1.2.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [13s/14s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(eventstudyr)
>
> test_check("eventstudyr")
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Attaching package: 'data.table'
The following object is masked from 'package:base':
%notin%
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Saving _problems/test-EventStudyFHS-113.R
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
Saving _problems/test-EventStudyOLS-116.R
Saving _problems/test-EventStudyOLS-278.R
NOTE: 300 observations removed because of NA values (RHS: 300).
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead1. To specify a different proxyIV use the proxyIV argument.
Smoothest path note: The lowest order such that a polynomial is in confidence region is 1.
Saving _problems/test-EventStudyPlot-230.R
Smoothest path note: The lowest order such that a polynomial is in confidence region is 4.
Smoothest path note: The lowest order such that a polynomial is in confidence region is 6.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
[ FAIL 4 | WARN 111 | SKIP 0 | PASS 455 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-EventStudyFHS.R:113:5'): FE = TRUE,
TFE = FALSE,
cluster = TRUE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_EventStudyFHS_example$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyOLS.R:116:5'): FE = TRUE,
TFE = FALSE,
cluster = TRUE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_test_EventStudyOLS$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyOLS.R:278:5'): FE = TRUE,
TFE = FALSE,
cluster = FALSE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_test_EventStudyOLS$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyPlot.R:230:5'): computed smoothest path for examples is within expectations ──
Expected `p$data$smoothest_path` to equal `matrix(rep(0, nrow(p$data)))`.
Differences:
`dim(actual)` is absent
`dim(expected)` is an integer vector (16, 1)
[ FAIL 4 | WARN 111 | SKIP 0 | PASS 455 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.2.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [15s/29s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(eventstudyr)
>
> test_check("eventstudyr")
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Attaching package: 'data.table'
The following object is masked from 'package:base':
%notin%
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Saving _problems/test-EventStudyFHS-113.R
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
Saving _problems/test-EventStudyOLS-116.R
Saving _problems/test-EventStudyOLS-278.R
NOTE: 300 observations removed because of NA values (RHS: 300).
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead1. To specify a different proxyIV use the proxyIV argument.
Smoothest path note: The lowest order such that a polynomial is in confidence region is 1.
Saving _problems/test-EventStudyPlot-230.R
Smoothest path note: The lowest order such that a polynomial is in confidence region is 4.
Smoothest path note: The lowest order such that a polynomial is in confidence region is 6.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
[ FAIL 4 | WARN 111 | SKIP 0 | PASS 455 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-EventStudyFHS.R:113:5'): FE = TRUE,
TFE = FALSE,
cluster = TRUE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_EventStudyFHS_example$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyOLS.R:116:5'): FE = TRUE,
TFE = FALSE,
cluster = TRUE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_test_EventStudyOLS$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyOLS.R:278:5'): FE = TRUE,
TFE = FALSE,
cluster = FALSE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_test_EventStudyOLS$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyPlot.R:230:5'): computed smoothest path for examples is within expectations ──
Expected `p$data$smoothest_path` to equal `matrix(rep(0, nrow(p$data)))`.
Differences:
`dim(actual)` is absent
`dim(expected)` is an integer vector (16, 1)
[ FAIL 4 | WARN 111 | SKIP 0 | PASS 455 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
Version: 1.2.0
Check: tests
Result: ERROR
Running 'testthat.R' [19s]
Running the tests in 'tests/testthat.R' failed.
Complete output:
> library(testthat)
> library(eventstudyr)
>
> test_check("eventstudyr")
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Attaching package: 'data.table'
The following object is masked from 'package:base':
%notin%
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Saving _problems/test-EventStudyFHS-113.R
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
Saving _problems/test-EventStudyOLS-116.R
Saving _problems/test-EventStudyOLS-278.R
NOTE: 300 observations removed because of NA values (RHS: 300).
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead1. To specify a different proxyIV use the proxyIV argument.
Smoothest path note: The lowest order such that a polynomial is in confidence region is 1.
Saving _problems/test-EventStudyPlot-230.R
Smoothest path note: The lowest order such that a polynomial is in confidence region is 4.
Smoothest path note: The lowest order such that a polynomial is in confidence region is 6.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
[ FAIL 4 | WARN 111 | SKIP 0 | PASS 455 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-EventStudyFHS.R:113:5'): FE = TRUE,
TFE = FALSE,
cluster = TRUE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_EventStudyFHS_example$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyOLS.R:116:5'): FE = TRUE,
TFE = FALSE,
cluster = TRUE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_test_EventStudyOLS$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyOLS.R:278:5'): FE = TRUE,
TFE = FALSE,
cluster = FALSE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_test_EventStudyOLS$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyPlot.R:230:5'): computed smoothest path for examples is within expectations ──
Expected `p$data$smoothest_path` to equal `matrix(rep(0, nrow(p$data)))`.
Differences:
`dim(actual)` is absent
`dim(expected)` is an integer vector (16, 1)
[ FAIL 4 | WARN 111 | SKIP 0 | PASS 455 ]
Error:
! Test failures.
Execution halted
Flavor: r-devel-windows-x86_64
Version: 1.2.0
Check: tests
Result: ERROR
Running ‘testthat.R’ [19s/23s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
> library(testthat)
> library(eventstudyr)
>
> test_check("eventstudyr")
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Attaching package: 'data.table'
The following object is masked from 'package:base':
%notin%
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
post, overidpost, pre, and overidpre are set to 0. A static model will be estimated.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead3. To specify a different proxyIV use the proxyIV argument.
Saving _problems/test-EventStudyFHS-113.R
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
NOTE: 300 observations removed because of NA values (RHS: 300, IV: 0/300).
The instruments 'z_lead3', 'z_fd_lead2', 'z_fd', 'z_fd_lag1', 'z_fd_lag2',
'z_lag3' and 'x_r' have been removed because of collinearity (see $collin.var).
Saving _problems/test-EventStudyOLS-116.R
Saving _problems/test-EventStudyOLS-278.R
NOTE: 300 observations removed because of NA values (RHS: 300).
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead1. To specify a different proxyIV use the proxyIV argument.
Smoothest path note: The lowest order such that a polynomial is in confidence region is 1.
Saving _problems/test-EventStudyPlot-230.R
Smoothest path note: The lowest order such that a polynomial is in confidence region is 4.
Smoothest path note: The lowest order such that a polynomial is in confidence region is 6.
Defaulting to strongest lead of differenced policy variable: proxyIV = z_fd_lead5. To specify a different proxyIV use the proxyIV argument.
[ FAIL 4 | WARN 111 | SKIP 0 | PASS 455 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('test-EventStudyFHS.R:113:5'): FE = TRUE,
TFE = FALSE,
cluster = TRUE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_EventStudyFHS_example$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyOLS.R:116:5'): FE = TRUE,
TFE = FALSE,
cluster = TRUE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_test_EventStudyOLS$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyOLS.R:278:5'): FE = TRUE,
TFE = FALSE,
cluster = FALSE works ──
Expected `all.equal(reg$felevels$V1, as.character(unique(df_test_EventStudyOLS$id)))` to be TRUE.
Differences:
`actual` is a character vector ('target is NULL, current is character')
`expected` is a logical vector (TRUE)
── Failure ('test-EventStudyPlot.R:230:5'): computed smoothest path for examples is within expectations ──
Expected `p$data$smoothest_path` to equal `matrix(rep(0, nrow(p$data)))`.
Differences:
`dim(actual)` is absent
`dim(expected)` is an integer vector (16, 1)
[ FAIL 4 | WARN 111 | SKIP 0 | PASS 455 ]
Error:
! Test failures.
Execution halted
Flavor: r-release-linux-x86_64
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