New features
-
rm_mvsum() and forestplotMV() now support include_unadjusted parameter to display univariate (unadjusted) estimates alongside multivariable (adjusted) estimates in a single table or plot
-
forestplotMV() data parameter is now optional - data will be automatically extracted from the model object if not provided
- new
extract_package_details() function to extract R packages used by a script or markdown file, along with citations.
- new
scrolling_table() creates scrollable HTML tables for long outputs or keeps regular tables for non-HTML formats
Minor improvements and fixes
- improved plotting of survival curves
- Cox proportional hazards clustering: fixed bug when clustering is used in coxph models
- Date handling in Word tables fixed bug where tables with date columns containing NA values caused errors in Word output
- rm_compactsum improvements: fixed output formatting issues, fixed bug with difftime variable handling, improved bolding for corrected p-values, better handling of negative numbers
- rm_uvsum fixes: fixed handling of integer predictors, various bug fixes for edge cases
- more robust handling of tidy evaluation
- HTML output improvements: improved display for special characters in HTML rendered tables
New features
- new more compact and flexible reporting function (rm_compactsum) that allows more control over each variable summarised and displays text summarising which tests and effect sizes were computed
- new function to apply variable labels to ggplots (replace_plot_labels)
- more comprehensive model summary function to allow plot extensions
- incorporated tidyselect into main summary functions
- support for tidycmprsk models
Minor improvements and fixes
- removed ability to force Wald confidence intervals, confidence intervals now computed by the updated confint in base R
- rm_mvsum and rm_uvsum have been updated in the backend to enable easier extendibility to different model types
- bug fix in nestTable so variables order properly with repeat level names
- numerous bug fixes in formatting of tables, especially with duplicated variable and level names
- added automated testing of the proportional hazards assumption when reporting coxph models
- bug fix for computing global p-values in models with offset terms
- documentation updates
New features
- cumulative incidence can now be summarised by event type and time
- revised survival curves are now properly aligned and return ggplots
- variable labels are automatically displayed in summary tables
- forest plots now support poisson and negative binomial models
- options to globally set the number of digits for a report
Minor improvements and fixes
- updated excelCol to handle column ranges (ie A-Z, instead of A,B,C,…)
- updated mvsum to accept negative binomial models from MASS
- updated uvsum to fit negative binomial models
- differentiated univariate and multivariable estimates in forest plots with shapes
- added functionality to export tables in html and latex formats
- added functionality to summarise date variables
- previously the digit argument did not work for variables with more than one class, this has been fixed
- long data calls (as may be created with tidy statements) are now supported in summary functions
- table bolding for interaction terms is now consistent
- Total N, Number of Events now properly reported when interactions are present
- nestTable now works properly with two-column tables
- covTitle argument restored in rm_covsum
- Added functionality to include effect sizes in summary tables
- forestplot2 now works with geeglm objects
Bug fixes: - fixed bug where some p-values didn’t output after update to R 4.2.2 - special characters now better shown in tables - fixed bug so that NA are always shown as blank - fixed bug in nestTable so that variable indenting is consistent
- 5 October 2022 first CRAN release