The Piece-wise exponential (Additive Mixed) Model
(PAMM; Bender and others (2018) <doi: 10.1177/1471082X17748083>) is a
powerful model class for the analysis of survival (or time-to-event) 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.
pammtools provides tidy workflow for survival analysis with PAMMs,
including data simulation, transformation and other functions for data
preprocessing and model post-processing as well as visualization.

c(
person("Andreas", "Bender", , "andreas.bender@stat.uni-muenchen.de", role = c("aut", "cre"), comment=c(ORCID = "0000-0001-5628-8611")),
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")),
person("Lukas", "Burk", , "burk@leibniz-bips.de", role = c("ctb"),
comment = c(ORCID="0000-0001-7528-3795")))

Implementation of the Panel Data Approach Method for Program
Evaluation
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.

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

PAM: prediction analysis for microarrays

Orphaned on 2013-07-26 as the original maintainer is
unresponsive.  Fixed up by the CRAN team.

Pam: Prediction Analysis for Microarrays
Some functions for sample classification in microarrays.