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: 0.2.2
Depends: R (≥ 3.6.0)
Imports: readxl, stringr, data.table, reshape2, rlang, stats, lme4, nlme, flexsurv, survminer, SurvRegCensCov, survival, MASS, systemfit, IPDFileCheck, valueEQ5D, car, ggplot2, grDevices, lmtest, broom, effects, gvlma, methods, relaimpo, tm, tidyverse, tibble, dplyr, tidyr, hash, haven
Suggests: ISLR, knitr, rmarkdown, covr, testthat
Published: 2021-03-03
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: Deterministic sensitivity analysis
Probabilistic sensitivity analysis
Sick sicker age dependent
Simple sick sicker model
Cycle dependent


Package source: packDAMipd_0.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): packDAMipd_0.2.2.tgz, r-oldrel (arm64): packDAMipd_0.2.2.tgz, r-release (x86_64): packDAMipd_0.2.2.tgz, r-oldrel (x86_64): packDAMipd_0.2.2.tgz
Old sources: packDAMipd archive


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