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Removed function ‘get_additional_data()’ (#332)
Updated documentation examples to include csv files (#328)
Added csv files for use in documentation examples (#329)
Added serocalculator_example() function to help
locate example data files (#329)
Fixed a bug in computing the antibody response curve when \(r=1\) (#323)
Added example datasets with documentation for examples and testing (#314)
Improved error messaging for autoplot.pop_data()
(#234).
Clarified package installation instructions in scrub typhus vignette (#234).
Add as_noise_params (#228)
Updated simulate_xsectionalData.Rmd (linting,
removing deprecated functions) (#289)
Added default value for antigen_isos argument in
log_likelihood() (#286)
Updated enteric fever example article with upgraded code and visualizations (#290)
Added Methodology vignette (#284, #302,
#303)
Added template for reporting Issues (from
usethis::use_tidy_issue_template()) (#270)
Added template for pull requests (from https://github.com/bcgov/ssdtools) (#265)
Updated documentation to align with previous CRAN feedback (#328)
Updated tests to use internal testing datasets instead of external links (#328)
Updated test-coverage.yml GHA action to current
r-lib standard (#330)
Change default pipe setting (#312)
Add test for missing strata in est.incidence.by
(#227)
Added snapshot_value test for
est.incidence() (#315)
Sped up lint-changed-files GitHub Action
(#317)
Added online preview builds for PRs that change the
pkgdown website (#309)
Added test-autoplot.pop_data test (#234)
initialized lintr with
lintr::use_lint() (#278)
created unit test for df_to_array() (#276)
fixed dplyr::select() deprecation warning in
df_to_array() (#276)
Added devtag to package (using
devtag::use_devtag()) (#292)
Added @dev tag to ?df_to_array()
(#292)
Generalized get_() and set_() methods
to be general-purpose (no S3 class-specific methods needed yet)
(#274).
Updated GitHub Action files and reformatted
DESCRIPTION (#268)
Added .gitattributes file (https://git-scm.com/docs/gitattributes) copied from https://github.com/tidyverse/ggplot2
Added QR code to README.qmd
Added additional automated checks through GitHub actions, including:
README.qmd still compiles (advice from preventive-r-package-care)
(#259)NEWS.md for updated change log (#257)Added test-summary.pop_data test
Modified test-est.incidence test
Added stratification to summary.pop_data
Added verbose option for
check_pop_data(), changing default behavior to avoid
printing an OK message.
Renamed llik() to
log_likelihood()
Renamed fdev() to f_dev()
Renamed df.to.array() to
df_to_array()
Renamed getAdditionalData() to
get_additional_data()
Removed clean_pop_data() function
Remove clean_pop_data() dependency functions
documentation examples
Added age, value, id and
standardize arguments to
load_pop_data()
Added the following methods to pop_data class:
set_age()set_value()set_id()get_age()get_value()get_id()get_age_var()get_value_var()get_id_var()Added additional warnings to
load_pop_data()
Added scales::pseudo_log_trans() to
autoplot.pop_data() to avoid log 0
Added test-est.incidence-status.R test to check
output when standardize option is FALSE on
load_pop_data()
Replaced column name comparison on check_pop_data()
to use attribute name on pop_data class
n_points argument to
plot_curve_params_one_ab()type = "age-scatter" option for
autoplot.pop_data()serocalculator
vignetteSpell-checking of function documentation and tutorial articles.
Added functions and methods:
load_pop_data()check_pop_data()summary.pop_data()autoplot.pop_data()load_curve_params()Renamed graph.decay.curves.by() to
autoplot.curve_params()
plot() methods have been renamed to
autoplot(), matching general convention for
ggplot2-based graphics.
added visualization of curve parameters
sim.cs() now has format argument to
specify long or wide format for output.
Fixed bug in passing antigen_isos from
est.incidence.by() to est.incidence().
Rolled back required R version from 4.2 to 4.1
Forking from the seroincidence package and adding Teunis et al 2020 approach.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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