In mrc-ide/drjacoby: Flexible Markov Chain Monte Carlo via Reparameterization

knitr::opts_chunk$set(
  collapse = TRUE,
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Installing Rcpp

drjacoby relies on the Rcpp package, which requires the following OS-specific steps:

• Windows
  • Download and install the appropriate version of Rtools for your version of R. On installation, ensure you check the box to arrange your system PATH as recommended by Rtools
• Mac OS X
  • Download and install XCode
  • Within XCode go to Preferences : Downloads and install the Command Line Tools
• Linux (Debian/Ubuntu)

  • Install g++ with

    {} sudo apt-get update sudo apt-get install g++

Irrespective of which system you use above, you should then install and load Rcpp with

install.packages("Rcpp")
library(Rcpp)

You can check the version number to make sure it has properly installed

packageVersion("Rcpp")

Installing and loading drjacoby

Next, in R, ensure that you have the devtools package installed by running

install.packages("devtools", repos='http://cran.us.r-project.org')

Then install the drjacoby package directly from GitHub by running

devtools::install_github("mrc-ide/drjacoby")

If you have any problems installing then please raise an issue on github.

Assuming everything installed correctly, we need to load the package:

library(drjacoby)

You can test that the package is loaded and working by running the following command, which should produce this output:

check_drjacoby_loaded()

mrc-ide/drjacoby documentation built on July 1, 2024, 11:50 a.m.