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
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
Repository: https://sestelo.r-universe.dev
Date/Publication: 2021-06-25 11:03:25 UTC
RemoteUrl: https://github.com/sestelo/survidm
RemoteRef: HEAD
RemoteSha: 1638cf1008e43ab381e18edf25fc2519d735f7a6
NeedsCompilation: yes
Packaged: 2026-06-13 07:51:15 UTC; root