Overview and Setup

Prerequisites

A computer
R at least version 2.1
R packages
- sandwich, geepack

Installation

To get the most out of this tutorial, we recommend installing the development version of eventglm. Choose one of the following options:

To install from the binaries on `r-universe` [Option 1]

install.packages("eventglm", repos = c(
  ropensci = 'https://sachsmc.r-universe.dev',
  CRAN = 'https://cloud.r-project.org'))

If you are setup to compile R packages from source [Option 2]

remotes::install_github("sachsmc/eventglm")

Download and install the binary for your system [Option 3]

The stable version of the package can be installed from CRAN

install.packages("eventglm")

The `eventglm` package

The github page for eventglm is https://github.com/sachsmc/eventglm . Documentation and vignettes are available in R and at https://sachsmc.github.io/eventglm .

To cite eventglm in publications use:

Sachs MC, Gabriel EE (2022). “Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in R.” Journal of Statistical Software, 102(9), 1-34. doi: 10.18637/jss.v102.i09 (URL: https://doi.org/10.18637/jss.v102.i09).

A BibTeX entry for LaTeX users is

  @Article{,
    title = {Event History Regression with Pseudo-Observations: Computational Approaches and an Implementation in {R}},
    author = {Michael C. Sachs and Erin E. Gabriel},
    journal = {Journal of Statistical Software},
    year = {2022},
    volume = {102},
    number = {9},
    pages = {1--34},
    doi = {10.18637/jss.v102.i09},
  }