Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/adibender/pammtools

Piece-wise exponential Additive Mixed Modeling tools
https://github.com/adibender/pammtools

additive-models pamm pammtools piece-wise-exponential r rstats survival-analysis

Last synced: 6 days ago
JSON representation

Piece-wise exponential Additive Mixed Modeling tools

Awesome Lists containing this project

README

        

---
output: github_document
---

```{r options, echo = FALSE}
library(knitr)
opts_chunk$set(warning = FALSE)
```

[![R-CMD-check](https://github.com/adibender/pammtools/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/adibender/pammtools/actions/workflows/R-CMD-check.yaml)
[![cran
checks](https://cranchecks.info/badges/worst/pammtools)](https://cran.r-project.org/web/checks/check_results_pammtools.html)
[![lifecycle](https://lifecycle.r-lib.org/articles/figures/lifecycle-stable.svg)](https://lifecycle.r-lib.org/articles/stages.html)
[![Build
Status](https://travis-ci.org/adibender/pammtools.svg?branch=master)](https://travis-ci.org/adibender/pammtools)
Status](https://ci.appveyor.com/api/projects/status/github/adibender/pammtools?branch=master&svg=true)](https://ci.appveyor.com/project/adibender/pammtools/branch/master)
[![codecov.io](https://codecov.io/github/adibender/pammtools/coverage.svg?branch=master)](https://codecov.io/github/adibender/pammtools/branch/master)
[![CRAN_Status_Badge](https://www.r-pkg.org/badges/version-ago/pammtools)](https://cran.r-project.org/package=pammtools)
[![CRAN_Download_Badge](https://cranlogs.r-pkg.org/badges/pammtools)](https://cran.r-project.org/package=pammtools)
[![MIT
license](https://img.shields.io/badge/license-MIT-brightgreen.svg)]( https://opensource.org/license/mit)

# **`pammtools`**: Piece-Wise Exponential Additive Mixed Modeling Tools

### Installation

Install from CRAN or GitHub using:

```{r eval = FALSE}
# CRAN
install.packages("pammtools")
```

### Overview
**`pammtools`** facilitates the estimation of Piece-wise exponential Additive Mixed Models (PAMMs) for time-to-event data. PAMMs can be represented as generalized additive models and can therefore be estimated using GAM software (e.g. **`mgcv`**), which, compared to other packages for survival analysis, often offers more flexibility w.r.t. to the specification of covariate effects (e.g. non-linear, time-varying effects, cumulative effects, etc.).

To get started, see the [Articles](https://adibender.github.io/pammtools/articles/) section.