Package: survidm
Type: Package
Title: Inference and Prediction in an Illness-Death Model
Version: 1.3.2
Date: 2021-06-23
Author: Luis Meira-Machado, Marta Sestelo and Gustavo Soutinho
Maintainer: Marta Sestelo <sestelo@uvigo.es>
Description: Newly developed methods for the estimation of several probabilities
      in an illness-death model. The package can be used to obtain nonparametric and 
      semiparametric estimates for: transition probabilities, occupation probabilities, 
      cumulative incidence function and the sojourn time distributions. 
      Additionally, it is possible to fit proportional hazards regression models
      in each transition of the Illness-Death Model. Several auxiliary 
      functions are also provided which can be used for marginal 
      estimation of the survival functions.
Depends: R (>= 3.0.0)
Encoding: UTF-8
License: GPL-3
LazyData: true
Imports: KernSmooth, np, survival, doParallel, parallel, doRNG,
        foreach, TPmsm, Rcpp, ggplot2, gridExtra, plotly
RoxygenNote: 7.1.1
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2021-06-24 13:42:18 UTC; sestelo
Repository: CRAN
Date/Publication: 2021-06-24 23:20:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-30 17:24:03 UTC; unix
Archs: survidm.so.dSYM
