The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
A collection of functions to construct Markov model for model-based cost-effectiveness analysis. This includes creating Markov model (both time homogenous and time dependent models), decision analysis, sensitivity analysis (deterministic and probabilistic). The package allows estimation of parameters for the Markov model from a given individual patient level data, provided the data file follows some standard data entry rules.
Version: | 1.1.0 |
Depends: | R (≥ 4.3.0) |
Imports: | readxl, stringr, data.table, reshape2, rlang, stats, lme4, survminer, SurvRegCensCov, survival, MASS, systemfit, IPDFileCheck, valueEQ5D, car, ggplot2, grDevices, lmtest, broom, effects, gvlma, methods, relaimpo, dplyr, tidyr, hash, haven, flextable, ggpubr, labelled, purrr, ISLR |
Suggests: | knitr, rmarkdown, covr, testthat |
Published: | 2024-03-24 |
Author: | Sheeja Manchira Krishnan [aut, cre] |
Maintainer: | Sheeja Manchira Krishnan <sheejamk at gmail.com> |
BugReports: | https://github.com/sheejamk/packDAMipd/issues |
License: | GPL-3 |
URL: | https://github.com/sheejamk/packDAMipd |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | packDAMipd results |
Package source: | packDAMipd_1.1.0.tar.gz |
Windows binaries: | r-devel: packDAMipd_1.1.0.zip, r-release: packDAMipd_1.1.0.zip, r-oldrel: packDAMipd_1.1.0.zip |
macOS binaries: | r-release (arm64): packDAMipd_1.1.0.tgz, r-oldrel (arm64): packDAMipd_1.1.0.tgz, r-release (x86_64): packDAMipd_1.1.0.tgz, r-oldrel (x86_64): packDAMipd_1.1.0.tgz |
Old sources: | packDAMipd archive |
Please use the canonical form https://CRAN.R-project.org/package=packDAMipd 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.