Package: flexsurvPlus 1.06

Iain Bennett

flexsurvPlus: Provides Functions to Perform Survival Analysis for Economic models

A group of functions designed to perform survival analyses.

Authors:Iain Bennett [cre, aut], Jo Gregory [aut], Sarah Smith [aut], Richard Birnie [aut], F. Hoffmann La Roche Ltd [cph]

flexsurvPlus_1.06.tar.gz
flexsurvPlus_1.06.zip(r-4.7)flexsurvPlus_1.06.zip(r-4.6)flexsurvPlus_1.06.zip(r-4.5)
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
flexsurvPlus/json (API)

# Install 'flexsurvPlus' in R:
install.packages('flexsurvPlus', repos = c('https://pharmaverse.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/roche/flexsurvplus/issues

On CRAN:

Conda:

cost-effectivenesscost-effectiveness-analysishealth-economic-evaluationhealth-economicshtasurvival-analysis

4.32 score 3 stars 8 scripts 6 exports 52 dependencies

Last updated from:e834c45201. Checks:7 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE212
source / vignettesOK368
linux-release-x86_64NOTE172
macos-release-arm64NOTE121
macos-oldrel-arm64NOTE147
windows-develNOTE127
windows-releaseNOTE127
windows-oldrelNOTE111
wasm-releaseOK121

Exports:bootPSMconvSTEMrunPSMsim_adttesummaryKMsummaryPSM

Dependencies:assertthatbbmlebdsmatrixclicpp11data.tabledeSolvedplyrfarverfastGHQuadflexsurvgenericsggplot2gluegtableisobandlabelinglatticelifecyclelsodamagrittrMASSMatrixmgcvmstatemuhazmvtnormnlmenumDerivpillarpkgconfigpurrrquadprogR6RColorBrewerRcppRcppArmadillorlangrstpm2S7scalesstatmodstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr

Excel example 1 - extrapolation calculations
Introduction | Set up packages and data | Install packages | Generate the data | Fitting the models | Bootstrap the estimated parameters | Exporting to Excel | The Excel model | Exported data tab | Extrapolations tab
Rendered fromExcel_example_ex1.Rmdusingknitr::rmarkdown

Last update: 2023-05-02
Started: 2022-04-02

Excel example 2 - STEM compatibility
Introduction | Set up packages and data | Install packages | Generate the data | Fitting the models | Bootstrap the estimated parameters | Converting to STEM format | Exporting to Excel | The Excel model | Exported data tab | Stat. Parameters tab | Extrapolations tab
Rendered fromExcel_example_ex2.Rmdusingknitr::rmarkdown

Last update: 2023-05-02
Started: 2022-05-13

Excel example 3 - correlated endpoints in PSA
Introduction | Set up packages and data | Install packages | Generate the data | Fitting the models | Bootstrap the estimated parameters | Exporting to Excel | The Excel model | Results ignoring correlation | Results accounting for correlation
Rendered fromExcel_example_ex3.Rmdusingknitr::rmarkdown

Last update: 2023-05-02
Started: 2022-07-27

STEM compatibility
Introduction | Read in the data | Fitting models | Converting to a STEM format | The output of convSTEM | stem_param | stem_cov | stem_modsum | stem_boot | Details on conversions | Conversion of parameters | Conversion of Exponential models | Seperate models | Common shape models | Excel formula | Conversion of Weibull models | Conversion of Gompertz models | Conversion of Log-logistic models | Conversion of Log-normal models | Conversion of Generalized Gamma models | Conversion of Gamma models | Conversion of AIC and BIC
Rendered fromSTEM_compatibility.Rmdusingknitr::rmarkdown

Last update: 2022-05-13
Started: 2021-10-22

Fitting parametric survival models in R
Introduction | Set up packages and data | Install packages | Read in the data | Exploratory analysis | Fitting the models | Estimate survival from the models and plot the curves | Adressing uncertainty - Bootstrapping | Estimating quantities from the sample | Outputing parameters to excel | References
Rendered fromFitting_models_in_R.Rmdusingknitr::rmarkdown

Last update: 2022-04-02
Started: 2021-10-22

PSA and correlated endpoints (bootstrap approach)
Introduction | Set up packages and data | Install packages | Read in the data | Bootstrapping the endpoints | Fitting the models to the original data | Ignoring correlation between endpoints | Considering correlation between endpoints | Plotting impact of accounting for correlations between endpoints
Rendered fromBootstrap_models_in_R.Rmdusingknitr::rmarkdown

Last update: 2022-04-02
Started: 2022-03-31

Parametric survival analysis using the flexsurvPlus package: understanding the theory
Introduction | Properties of the distributions | Special cases | Initial diagnostics | Exponential | Separate models | Common shape models | Weibull | Independent shape models | Gompertz | Log-logistic | Log-normal | Gamma | Generalized gamma | Generalized F | References
Rendered fromModel_theory.Rmdusingknitr::rmarkdown

Last update: 2022-03-31
Started: 2022-03-31