packDAMipd: Decision Analysis Modelling Package with Parameters Estimation Ability from Individual Patient Level Data

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
DOI: 10.32614/CRAN.package.packDAMipd
Author: Sheeja Manchira Krishnan [aut, cre]
Maintainer: Sheeja Manchira Krishnan <sheejamk at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: packDAMipd results


Reference manual: packDAMipd.pdf
Vignettes: Cycle dependent
Simple sick sicker model
Sick sicker age dependent
Deterministic sensitivity analysis
Probabilistic sensitivity analysis
Probabilistic sensitivity analysis - 2


Package source: packDAMipd_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
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


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