Packaged: 2009-10-11 18:17:29 UTC; Christophe

Author: Christophe Genolini and some reader that send useful comments
Description: This package comes to illustrate the tutorial "S4: From Idea To Package"
Packaged: Thu Sep 18 17:23:31 2008; Administrator

Title: Decision Analysis Modelling Package with Parameters Estimation
Ability from Individual Patient Level Data
Authors@R: c(person("Sheeja", "Manchira Krishnan", , "sheejamk@gmail.com", c("aut", "cre")))
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
Imports: stringr, data.table, reshape2, rlang, stats, lme4, flexsurv,
survminer, SurvRegCensCov, survival, MASS, systemfit,
IPDFileCheck, valueEQ5D, car, ggplot2, grDevices, lmtest,
broom, effects, gvlma, methods, relaimpo, tm
Suggests: ISLR, foreign, dplyr, knitr, rmarkdown, covr, testthat
Author: Sheeja Manchira Krishnan [aut, cre]

Imports: stringr, data.table, reshape2, rlang, stats, lme4, nlme,
flexsurv, survminer, SurvRegCensCov, survival, MASS, systemfit,

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,
Suggests: ISLR, foreign, knitr, rmarkdown, covr, testthat

Type: Package
Package: packDAMipd
Title: Decision Analysis Modelling Package with Parameters Estimation
Ability from Individual Patient Level Data
Version: 0.2.1
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
Suggests: ISLR, foreign, 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: 2021-02-26 17:54:29 UTC; sheej
Author: Sheeja Manchira Krishnan [aut, cre]
Repository: CRAN
Date/Publication: 2021-02-26 18:20:03 UTC