pamm_package: pamm: Piece-wise exponential Additive Mixed Models

In adibender/pamm: Functions and Utilities for fitting Piece-wise Exponential (Additive) models

Description

'pamm' provides functions and utilities that facilitate fitting Piece-wise Exponential Additive Mixed Models (PAMMs), including data transformation and other convenience functions for pre- and post-processing as well as plotting.

Details

The best way to get an overview of the functionality provided and how to fit PAMMs is to view the vignettes included in this package. A summary of the vignettes content is given below:

• basics: Introduction to PAMMs and basic modeling.

• baseline: Shows how to estimate and visualize baseline model (without covariates) and comparison to respective Cox-PH model.

• convenience: Convenience functions for post-processing and plotting PAMMs

• data-transformation: Transforming data into a format suitable to fit PAMMs

• frailty: Specifying "frailty" terms, i.e., random effects for PAMMs

• splines: Specifying spline smooth terms for PAMMs

• strata: Specifying stratified models in which each level of a grouping variable has a different baseline hazard

• tdcovar: Dealing with time-dependent covariates

• tveffects: Specifying time-varying effects

adibender/pamm documentation built on May 14, 2019, 5:22 p.m.