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formulaic
View on CRAN: Click
here
Download and install formulaic package within the R console
Install from CRAN:
install.packages("formulaic")
Install from Github:
library("remotes")
install_github("cran/formulaic")
Install by package version:
library("remotes")
install_version("formulaic", "0.0.8")
Attach the package and use:
library("formulaic")
Maintained by
Anderson Nelson
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-05
Latest Update: 2021-02-15
Description:
Many statistical models and analyses in R are implemented through formula objects. The formulaic package creates a unified approach for programmatically and dynamically generating formula objects. Users may specify the outcome and inputs of a model directly, search for variables to include based upon naming patterns, incorporate interactions, and identify variables to exclude. A wide range of quality checks are implemented to identify issues such as misspecified variables, duplication, a lack of contrast in the inputs, and a large number of levels in categorical data. Variables that do not meet these quality checks can be automatically excluded from the model. These issues are documented and reported in a manner that provides greater accountability and useful information to guide an investigation of the data.
How to cite:
Anderson Nelson (2019). formulaic: Dynamic Generation and Quality Checks of Formula Objects. R package version 0.0.8, https://cran.r-project.org/web/packages/formulaic. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Other R packages that formulaic depends,
imports, suggests or enhances
Complete documentation for formulaic
Functions, R codes and Examples using
the formulaic R package
Some associated functions: add.backtick . create.formula . reduce.existing.formula . snack.dat .
Some associated R codes: add.backtick.R . create.formula.R . reduce.existing.formula.R . snack.dat.R . Full formulaic package functions and examples
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