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Methods for manipulating regression models and for describing these in a style adapted for medical journals. Contains functions for generating an HTML table with crude and adjusted estimates, plotting hazard ratio, plotting model estimates and confidence intervals using forest plots, extending this to comparing multiple models in a single forest plots. In addition to the descriptive methods, there are functions for the robust covariance matrix provided by the 'sandwich' package, a function for adding non-linearities to a model, and a wrapper around the 'Epi' package's Lexis() functions for time-splitting a dataset when modeling non-proportional hazards in Cox regressions.
Version: | 2.0.2 |
Depends: | Gmisc (≥ 1.0.3), forestplot, R (≥ 4.1.0) |
Imports: | broom, Epi, dplyr, glue, graphics, grDevices, htmlTable (≥ 2.0.0), Hmisc, knitr, methods, nlme, purrr, rlang, rms, sandwich, stats, stringr, tibble, tidyr, tidyselect, utils |
Suggests: | boot, testthat, cmprsk, survival, ggplot2, parallel, rmarkdown, rmeta, tidyverse |
Published: | 2024-01-29 |
DOI: | 10.32614/CRAN.package.Greg |
Author: | Max Gordon [aut, cre], Reinhard Seifert [aut] (Author of original plotHR) |
Maintainer: | Max Gordon <max at gforge.se> |
BugReports: | https://github.com/gforge/Greg/issues |
License: | GPL (≥ 3) |
URL: | http://gforge.se |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | Greg results |
Reference manual: | Greg.pdf |
Vignettes: |
Print crude and adjusted How to use the timeSplitter |
Package source: | Greg_2.0.2.tar.gz |
Windows binaries: | r-devel: Greg_2.0.2.zip, r-release: Greg_2.0.2.zip, r-oldrel: Greg_2.0.2.zip |
macOS binaries: | r-release (arm64): Greg_2.0.2.tgz, r-oldrel (arm64): Greg_2.0.2.tgz, r-release (x86_64): Greg_2.0.2.tgz, r-oldrel (x86_64): Greg_2.0.2.tgz |
Old sources: | Greg archive |
Reverse suggests: | forestplot |
Please use the canonical form https://CRAN.R-project.org/package=Greg to link to this page.
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.
Health stats visible at Monitor.