/modelit

modelling with SciViews::R

Primary LanguageROtherNOASSERTION

modelit - Easy data modelling with regression

R-CMD-check Codecov test coverage CRAN status Lifecycle: experimental

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.