Package: PERSUADE 0.1.2

PERSUADE: Parametric Survival Model Selection for Decision-Analytic Models

Provides a standardized framework to support the selection and evaluation of parametric survival models for time-to-event data. Includes tools for visualizing survival data, checking proportional hazards assumptions (Grambsch and Therneau, 1994, <doi:10.1093/biomet/81.3.515>), comparing parametric (Ishak and colleagues, 2013, <doi:10.1007/s40273-013-0064-3>), spline (Royston and Parmar, 2002, <doi:10.1002/sim.1203>) and cure models, examining hazard functions, and evaluating model extrapolation. Methods are consistent with recommendations in the NICE Decision Support Unit Technical Support Documents (14 and 21 <https://sheffield.ac.uk/nice-dsu/tsds/survival-analysis>). Results are structured to facilitate integration into decision-analytic models, and reports can be generated with 'rmarkdown'. The package builds on existing tools including 'flexsurv' (Jackson, 2016, <doi:10.18637/jss.v070.i08>)) and 'flexsurvcure' for estimating cure models.

Authors:Bram Ramaekers [aut, cre, ths], Xavier Pouwels [ctb], Sabine Grimm [ths], Manuela Joore [ths]

PERSUADE_0.1.2.tar.gz
PERSUADE_0.1.2.zip(r-4.7-any)PERSUADE_0.1.2.zip(r-4.6-any)PERSUADE_0.1.2.zip(r-4.5-any)
PERSUADE_0.1.2.tgz(r-4.6-any)PERSUADE_0.1.2.tgz(r-4.5-any)
PERSUADE_0.1.2.tar.gz(r-4.7-any)PERSUADE_0.1.2.tar.gz(r-4.6-any)
PERSUADE_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PERSUADE/json (API)

# Install 'PERSUADE' in R:

install.packages('PERSUADE', repos = c('https://bram-r.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bram-r/persuade/issues

Datasets:

nsclc_ipd - Reconstructed Individual Patient Data for Overall Survival in NSCLC Trials
nsclc_trials - Trial Characteristics and References for Reconstructed NSCLC Survival Data

On CRAN:

4.60 score 4 stars 6 scripts 172 downloads 36 exports 160 dependencies

Last updated from:7be0e3668b. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	WARNING	174
source / vignettes	OK	258
linux-release	WARNING	150
macos-release	WARNING	102
macos-oldrel	WARNING	110
windows-devel	WARNING	102
windows-release	WARNING	95
windows-oldrel	WARNING	126
wasm-release	OK	143

Exports:f_cum_hazard f_generate_report f_get_excel_template f_hazard f_PERSUADE f_plot_cure_surv_extrap f_plot_cure_surv_model f_plot_diag_cure_surv_model f_plot_diag_param_surv_model f_plot_diag_spline_surv_model f_plot_hazard_cure_extrap f_plot_hazard_parametric_extrap f_plot_hazard_spline_extrap f_plot_hazard_with_models f_plot_km_survival f_plot_km_survival_base f_plot_log_cumhaz f_plot_param_surv_extrap f_plot_param_surv_model f_plot_schoenfeld_residuals f_plot_smoothed_hazard f_plot_spline_surv_extrap f_plot_spline_surv_model f_plot_tp_cure_surv_extrap f_plot_tp_cure_surv_model f_plot_tp_param_surv_extrap f_plot_tp_param_surv_model f_plot_tp_spline_surv_extrap f_plot_tp_spline_surv_model f_summary f_surv_model f_surv_model_excel f_surv_model_pred f_surv_model_pred_gr f_surv_model_pred_tp_gr f_tp

Dependencies:abind ash askpass assertthat backports base64enc bbmle bdsmatrix boot broom bslib cachem car carData checkmate cli cluster codetools colorspace commonmark corrplot cowplot cpp11 curl data.table Deriv deSolve digest doBy dplyr evaluate exactRankTests farver fastGHQuad fastmap fda fds flexsurv flexsurvcure FNN fontawesome forecast foreign Formula fracdiff fs generics ggplot2 ggpubr ggrepel ggsci ggsignif ggtext glue gmp gridExtra gridtext gtable hdrcde highr Hmisc htmlTable htmltools htmlwidgets httr isoband jpeg jquerylib jsonlite kernlab KernSmooth knitr ks labeling lattice lifecycle litedown lme4 lmtest locfit lsoda magrittr markdown MASS Matrix MatrixModels maxstat mclust memoise mgcv mime minqa modelr mstate muhaz multcomp multicool mvtnorm nlme nloptr nnet numDeriv openssl pbkrtest pcaPP pillar pkgconfig png polspline polynom pracma purrr quadprog quantreg R6 rainbow rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang rmarkdown rms rpart rstatix rstpm2 rstudioapi S7 sandwich sass scales sft SparseM statmod stringi stringr SuppDists survival survminer sys TH.data tibble tidyr tidyselect timeDate tinytable tinytex urca utf8 vctrs viridisLite withr xfun xml2 yaml zoo

Introduction to PERSUADE

Rendered fromPERSUADE_introduction.Rmdusingknitr::rmarkdown

Last update: 2026-10-27
Started: 2025-09-09

Help page	Topics
Calculate Cumulative Hazard Estimates	f_cum_hazard
Generate PDF Report for a PERSUADE Analysis	f_generate_report
Copy Excel Template for Model Parameters	f_get_excel_template
Calculate Smoothed Hazard Estimates	f_hazard
Main PERSUADE Function	f_PERSUADE
Plot Extrapolated Cure Survival Models per Group	f_plot_cure_surv_extrap
Cure Survival Model Overlay	f_plot_cure_surv_model
Diagnostic Plot for Cure Survival Models	f_plot_diag_cure_surv_model
Diagnostic Plot for Parametric Survival Models	f_plot_diag_param_surv_model
Diagnostic Plot for Spline Survival Models	f_plot_diag_spline_surv_model
Plot Extrapolated Hazard Functions (Cure Models)	f_plot_hazard_cure_extrap
Plot Extrapolated Hazard Functions (Parametric Models)	f_plot_hazard_parametric_extrap
Plot Extrapolated Hazard Functions (Spline Models)	f_plot_hazard_spline_extrap
Hazard Plot with Model Overlays	f_plot_hazard_with_models
Plot Kaplan-Meier Survival Curves (ggsurvplot)	f_plot_km_survival
Plot Kaplan-Meier Survival Curves (Base R)	f_plot_km_survival_base
Log-Log Survival Diagnostic Plot	f_plot_log_cumhaz
Plot Extrapolated Parametric Survival Models per Group	f_plot_param_surv_extrap
Parametric Survival Model Overlay	f_plot_param_surv_model
Schoenfeld Residuals Plot	f_plot_schoenfeld_residuals
Smoothed Hazard Function Plot	f_plot_smoothed_hazard
Plot Extrapolated Spline Survival Models per Group	f_plot_spline_surv_extrap
Spline Survival Model Overlay	f_plot_spline_surv_model
Plot Extrapolated Annual Transition Probabilities (Cure Models)	f_plot_tp_cure_surv_extrap
Plot Annual Transition Probabilities for Cure Survival Models	f_plot_tp_cure_surv_model
Plot Extrapolated Annual Transition Probabilities (Parametric Models)	f_plot_tp_param_surv_extrap
Plot Annual Transition Probabilities for Parametric Survival Models	f_plot_tp_param_surv_model
Plot Extrapolated Annual Transition Probabilities (Spline Models)	f_plot_tp_spline_surv_extrap
Plot Annual Transition Probabilities for Spline Survival Models	f_plot_tp_spline_surv_model
Compute Summary Statistics for Numeric Variables	f_summary
Fit Parametric Survival Models	f_surv_model
Prepare Excel-Ready Survival Model Output	f_surv_model_excel
Predict from Survival Models	f_surv_model_pred
Group Predictions by Survival Model	f_surv_model_pred_gr
Compute Transition Probabilities for Survival Model Predictions	f_surv_model_pred_tp_gr
Calculate Transition Probabilities	f_tp
Reconstructed Individual Patient Data for Overall Survival in NSCLC Trials	nsclc_ipd
Trial Characteristics and References for Reconstructed NSCLC Survival Data	nsclc_trials
Plot Method for PERSUADE Objects	plot.PERSUADE
Print Method for PERSUADE Objects	print.PERSUADE
Summary Method for PERSUADE Objects	summary.PERSUADE

Package: PERSUADE 0.1.2

PERSUADE: Parametric Survival Model Selection for Decision-Analytic Models

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)