r-cran-pammtools binary package in Ubuntu Kinetic ppc64el

 This package provides piece-wise exponential additive mixed modeling
 tools for survival analysis. 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.

Source package