0.2.3), tibble, lazyeval, Formula, mvtnorm, pec

0.2.3), tibble, lazyeval, Formula, mvtnorm, pec, vctrs

0.2.3), tibble, lazyeval, Formula, mvtnorm, pec, vctrs (>=

person("Fabian", "Scheipl", , "fabian.scheipl@stat.uni-muenchen.de", role = c("aut"), comment = c(ORCID = "0000-0001-8172-3603")),
person("Philipp", "Kopper", , "philipp.kopper@stat.uni-muenchen.de", role = c("aut"), comment = c(ORCID="0000-0002-5037-7135")))
based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2018) <doi: 10.1093/biostatistics/kxy003>, as well as support for left-truncated, competing risks and recurrent events data.

based on Generalized Additive (Mixed) Models (GA(M)Ms). It offers intuitive specification and robust estimation of complex survival models with stratified baseline hazards, random effects, time-varying effects, time-dependent covariates and cumulative effects (Bender and others (2019)), as well as support for left-truncated, competing risks and recurrent events data.

person("Philipp", "Kopper", , "philipp.kopper@stat.uni-muenchen.de", role = c("aut"), comment = c(ORCID="0000-0002-5037-7135")),
person("Lukas", "Burk", , "burk@leibniz-bips.de", role = c("ctb"),

Title: Implementation of the Panel Data Approach Method for Program
Description: Implements the Panel Data Approach Method for program evaluation as developed in Hsiao, Ching and Ki Wan (2012). pampe estimates the effect of an intervention by comparing the evolution of the outcome for a unit affected by an intervention or treatment to the evolution of the unit had it not been affected by the intervention.

Title: Pam: prediction analysis for microarrays
Author: T. Hastie, R. Tibshirani, Balasubramanian Narasimhan, Gil Chu
Description: Some functions for sample classification in microarrays

Packaged: Wed Sep 15 10:27:18 2004; tibs