Type: Package
Package: packDAMipd
Title: Decision Analysis Modelling Package with Parameters Estimation
Ability from Individual Patient Level Data
Version: 0.2.2
Authors@R: c(person("Sheeja", "Manchira Krishnan", , "sheejamk@gmail.com", c("aut", "cre")))
Maintainer: Sheeja Manchira Krishnan <sheejamk@gmail.com>
Description: 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.
License: GPL-3
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
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
URL: https://github.com/sheejamk/packDAMipd
BugReports: https://github.com/sheejamk/packDAMipd/issues
NeedsCompilation: no
Packaged: 2021-03-02 19:06:06 UTC; sheej
Author: Sheeja Manchira Krishnan [aut, cre]
Repository: CRAN
Date/Publication: 2021-03-03 09:20:14 UTC

Title: A few useful functions for statisticians
Description: Various useful functions for statisticians

Description: Various useful functions for statisticians: describe data,
plot Kaplan-Meier curves with numbers of subjects at risk,
compare data sets, display spaghetti-plot, build

Description: Various useful functions for statisticians: describe data, plot Kaplan-Meier curves with numbers of subjects at risk, compare data sets, display spaghetti-plot, build multi-contingency tables...

Title: A few Useful Functions for Statisticians
Imports: stats, graphics, WriteXLS (>= 2.3.0)