Other packages > Find by keyword >

formulaic  

Dynamic Generation and Quality Checks of Formula Objects
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]
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 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:39), 0.0.1 (2019-08-05 15:30), 0.0.2 (2019-08-08 17:00), 0.0.3 (2019-08-31 00:30), 0.0.4 (2019-10-08 23:00), 0.0.5 (2019-12-16 06:30), 0.0.6 (2020-01-19 10:30), 0.0.7 (2020-05-04 13:40)
Other packages that cited formulaic R package
View formulaic citation profile
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

footBayes  
Fitting Bayesian and MLE Football Models
This is the first package allowing for the estimation, visualization and prediction of the most wel ...
Download / Learn more Package Citations See dependency  
gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  
binhf  
Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009). ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA