The goal of simloglm is to provide functions to simulate the correct quantities of interest from linear regression models with logged dependent variables. This package accompanies the paper “How to Improve the Substantive Interpretation of Regression Results when the Dependent Variable is logged”.
Currently you can install the development version of simloglm from GitHub with:
# install.packages("devtools")
devtools::install_github("mneunhoe/simloglm")This is a basic example which shows you how to solve a common problem:
library(simloglm)
df <- cars
regression <- lm(log(dist)~speed, data = df)
# Specifiying no scenario to simulate at the mean of speed.
simulation_results_average <- simloglm(regression)
#> No scenario provided, all variables were set to their mean.
# Explicitily specifying a scenario.
simulation_results_scenario <- simloglm(regression, scenario = list(speed = c(5, 10, 20)))See the vignettes for replications of published work.
Please reach out in case you find bugs and open an issue on Github.