You can install the released version of evalITR from CRAN with:
# Install release version from CRAN (updating evalITR is the same command) install.packages("evalITR")
Or, you can install the development version of evalITR from GitHub with:
# install.packages("devtools") ::install_github("MichaelLLi/evalITR", ref = "causal-ml")devtools
If you want to use the latest version of the package, you can install
the development version of evalITR by specifying the branch name in
(Optional) if you have multiple cores, we recommendate using multisession futures and processing in parallel. This would increase computation efficiency and reduce the time to fit the model.
library(furrr) library(future.apply) # check the number of cores ::detectCores() parallel # set the number of cores <- 4 nworkers plan(multisession, workers =nworkers)