modelit - Easy data modelling with regression
The {modelit} package adds the statistical models to the SciViews::R dialect. It uses both the fun$type(data = ...., formula)
approach and the enhanced formula allowing to specify arguments with %arg=%
directly inside the formula. It also takes the variable labels into account in the outputs.
Installation
You can install the released version of {modelit} from CRAN with (note: not yet!):
install.packages("modelit")
You can also install the latest development version. Make sure you have the {remotes} R package installed:
install.packages("remotes")
Use install_github()
to install the {modelit} package from GitHub (source from main branch will be recompiled on your machine):
remotes::install_github("SciViews/modelit")
R should install all required dependencies automatically, and then it should compile and install {modelit}.
Usage
You can get further help about this package this way: Make the {modelit} package available in your R session:
library(modelit)
Get help about this package:
library(help = "modelit")
help("modelit-package")
vignette("modelit") # None is installed with install_github()
For further instructions, please, refer to the help pages at https://www.sciviews.org/modelit/.
Code of Conduct
Please note that the {modelit} project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.