Last updated on 2025-02-23 15:49:46 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 1.5.1 | 28.32 | 119.31 | 147.63 | OK | |
| r-devel-linux-x86_64-debian-gcc | 1.5.1 | 21.93 | 76.99 | 98.92 | OK | |
| r-devel-linux-x86_64-fedora-clang | 1.5.1 | 228.77 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 1.5.1 | 240.57 | ERROR | |||
| r-devel-macos-arm64 | 1.5.1 | 84.00 | OK | |||
| r-devel-macos-x86_64 | 1.5.1 | 155.00 | OK | |||
| r-devel-windows-x86_64 | 1.5.1 | 36.00 | 162.00 | 198.00 | OK | |
| r-patched-linux-x86_64 | 1.5.1 | 32.20 | 110.20 | 142.40 | OK | |
| r-release-linux-x86_64 | 1.5.1 | 29.60 | 109.08 | 138.68 | OK | |
| r-release-macos-arm64 | 1.5.1 | 85.00 | OK | |||
| r-release-macos-x86_64 | 1.5.1 | 130.00 | OK | |||
| r-release-windows-x86_64 | 1.5.1 | 36.00 | 165.00 | 201.00 | OK | |
| r-oldrel-macos-arm64 | 1.5.1 | 90.00 | OK | |||
| r-oldrel-macos-x86_64 | 1.5.1 | 173.00 | OK | |||
| r-oldrel-windows-x86_64 | 1.5.1 | 39.00 | 186.00 | 225.00 | OK |
Version: 1.5.1
Check: tests
Result: ERROR
Running ‘test-all.R’ [30s/43s]
Running the tests in ‘tests/test-all.R’ failed.
Complete output:
> library(testthat)
> test_check("KFAS")
Loading required package: KFAS
Please cite KFAS in publications by using:
Jouni Helske (2017). KFAS: Exponential Family State Space Models in R. Journal of Statistical Software, 78(10), 1-39. doi:10.18637/jss.v078.i10.
Call:
SSModel(formula = t12 ~ SSMcycle(period = 10, type = "common",
Q = 2) + SSMcycle(period = 10, type = "distinct", P1 = diag(c(1,
1, 2, 2)), Q = diag(1:2)) + SSMtrend(2, type = "common",
Q = diag(c(1, 0.5))) + SSMtrend(2, type = "distinct", Q = list(diag(0.1,
2), diag(0.01, 2)), P1 = diag(c(0.1, 0.01, 0.1, 0.01))) +
SSMseasonal(period = 4, type = "common") + SSMseasonal(period = 4,
type = "distinct", Q = diag(c(2, 3)), P1 = diag(c(2, 2, 2,
3, 3, 3))) + SSMseasonal(period = 5, type = "common",
sea.type = "trig") + SSMseasonal(period = 5, type = "distinct",
sea.type = "trig", Q = diag(c(0.1, 0.2)), P1 = diag(rep(c(0.1,
0.2), each = 4))) + SSMarima(ar = 0.9, ma = 0.2) + SSMregression(~-1 +
x, index = 1, Q = 1, data = d))
State space model object of class SSModel
Dimensions:
[1] Number of time points: 100
[1] Number of time series: 2
[1] Number of disturbances: 25
[1] Number of states: 38
Names of the states:
[1] x.t1 level slope level.t1 slope.t1
[6] level.t2 slope.t2 sea_dummy1 sea_dummy2 sea_dummy3
[11] sea_dummy1.t1 sea_dummy2.t1 sea_dummy3.t1 sea_dummy1.t2 sea_dummy2.t2
[16] sea_dummy3.t2 sea_trig1 sea_trig*1 sea_trig2 sea_trig*2
[21] sea_trig1.t1 sea_trig*1.t1 sea_trig2.t1 sea_trig*2.t1 sea_trig1.t2
[26] sea_trig*1.t2 sea_trig2.t2 sea_trig*2.t2 cycle cycle*
[31] cycle.t1 cycle*.t1 cycle.t2 cycle*.t2 arima1.t1
[36] arima2.t1 arima1.t2 arima2.t2
Distributions of the time series:
[1] gaussian
Object is a valid object of class SSModel.[ FAIL 1 | WARN 3 | SKIP 0 | PASS 574 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('testLMM.R:32:3'): lmms works properly ─────────────────────────────
logLik(fit_lmm$model) not equivalent to unclass(logLik(fm1)).
1/1 mismatches
[1] -872 - -Inf == Inf
[ FAIL 1 | WARN 3 | SKIP 0 | PASS 574 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang
Version: 1.5.1
Check: tests
Result: ERROR
Running ‘test-all.R’ [28s/34s]
Running the tests in ‘tests/test-all.R’ failed.
Complete output:
> library(testthat)
> test_check("KFAS")
Loading required package: KFAS
Please cite KFAS in publications by using:
Jouni Helske (2017). KFAS: Exponential Family State Space Models in R. Journal of Statistical Software, 78(10), 1-39. doi:10.18637/jss.v078.i10.
Call:
SSModel(formula = t12 ~ SSMcycle(period = 10, type = "common",
Q = 2) + SSMcycle(period = 10, type = "distinct", P1 = diag(c(1,
1, 2, 2)), Q = diag(1:2)) + SSMtrend(2, type = "common",
Q = diag(c(1, 0.5))) + SSMtrend(2, type = "distinct", Q = list(diag(0.1,
2), diag(0.01, 2)), P1 = diag(c(0.1, 0.01, 0.1, 0.01))) +
SSMseasonal(period = 4, type = "common") + SSMseasonal(period = 4,
type = "distinct", Q = diag(c(2, 3)), P1 = diag(c(2, 2, 2,
3, 3, 3))) + SSMseasonal(period = 5, type = "common",
sea.type = "trig") + SSMseasonal(period = 5, type = "distinct",
sea.type = "trig", Q = diag(c(0.1, 0.2)), P1 = diag(rep(c(0.1,
0.2), each = 4))) + SSMarima(ar = 0.9, ma = 0.2) + SSMregression(~-1 +
x, index = 1, Q = 1, data = d))
State space model object of class SSModel
Dimensions:
[1] Number of time points: 100
[1] Number of time series: 2
[1] Number of disturbances: 25
[1] Number of states: 38
Names of the states:
[1] x.t1 level slope level.t1 slope.t1
[6] level.t2 slope.t2 sea_dummy1 sea_dummy2 sea_dummy3
[11] sea_dummy1.t1 sea_dummy2.t1 sea_dummy3.t1 sea_dummy1.t2 sea_dummy2.t2
[16] sea_dummy3.t2 sea_trig1 sea_trig*1 sea_trig2 sea_trig*2
[21] sea_trig1.t1 sea_trig*1.t1 sea_trig2.t1 sea_trig*2.t1 sea_trig1.t2
[26] sea_trig*1.t2 sea_trig2.t2 sea_trig*2.t2 cycle cycle*
[31] cycle.t1 cycle*.t1 cycle.t2 cycle*.t2 arima1.t1
[36] arima2.t1 arima1.t2 arima2.t2
Distributions of the time series:
[1] gaussian
Object is a valid object of class SSModel.[ FAIL 1 | WARN 3 | SKIP 0 | PASS 574 ]
══ Failed tests ════════════════════════════════════════════════════════════════
── Failure ('testLMM.R:32:3'): lmms works properly ─────────────────────────────
logLik(fit_lmm$model) not equivalent to unclass(logLik(fm1)).
1/1 mismatches
[1] -872 - -Inf == Inf
[ FAIL 1 | WARN 3 | SKIP 0 | PASS 574 ]
Error: Test failures
Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc
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