Other packages > Find by keyword >

cgam  

Constrained Generalized Additive Model
View on CRAN: Click here


Download and install cgam package within the R console
Install from CRAN:
install.packages("cgam")

Install from Github:
library("remotes")
install_github("cran/cgam")

Install by package version:
library("remotes")
install_version("cgam", "1.30")



Attach the package and use:
library("cgam")
Maintained by
Xiyue Liao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-03-05
Latest Update: 2025-07-05
Description:
A constrained generalized additive model is fitted by the cgam routine. Given a set of predictors, each of which may have a shape or order restrictions, the maximum likelihood estimator for the constrained generalized additive model is found using an iteratively re-weighted cone projection algorithm. The ShapeSelect routine chooses a subset of predictor variables and describes the component relationships with the response. For each predictor, the user needs only specify a set of possible shape or order restrictions. A model selection method chooses the shapes and orderings of the relationships as well as the variables. The cone information criterion (CIC) is used to select the best combination of variables and shapes. A genetic algorithm may be used when the set of possible models is large. In addition, the cgam routine implements a two-dimensional isotonic regression using warped-plane splines without additivity assumptions. It can also fit a convex or concave regression surface with triangle splines without additivity assumptions. See Liao X, Meyer MC (2019) for more details.
How to cite:
Xiyue Liao (2014). cgam: Constrained Generalized Additive Model. R package version 1.30, https://cran.r-project.org/web/packages/cgam. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:25), 1.0 (2014-03-05 18:14), 1.1 (2014-04-17 00:13), 1.2 (2014-09-10 21:48), 1.3 (2015-10-01 13:18), 1.4 (2016-04-15 00:43), 1.5 (2016-06-05 18:41), 1.6 (2016-11-02 19:52), 1.7 (2017-07-03 00:16), 1.8 (2017-10-02 09:08), 1.9 (2018-02-15 19:21), 1.10 (2018-04-11 19:42), 1.11 (2018-06-28 21:48), 1.12 (2018-11-08 20:00), 1.13 (2019-04-23 06:10), 1.14 (2019-05-01 19:30), 1.15 (2019-10-13 23:30), 1.16 (2020-09-29 08:40), 1.17 (2021-12-13 18:40), 1.18 (2022-07-18 17:50), 1.19 (2022-10-04 21:50), 1.20 (2022-11-16 13:11), 1.21 (2023-08-10 18:30), 1.22 (2025-02-17 21:00), 1.23 (2025-02-19 09:50), 1.24 (2025-04-11 06:50), 1.25 (2025-04-24 00:20), 1.26 (2025-04-28 12:00), 1.27 (2025-05-13 00:10), 1.28 (2025-07-05 23:00), 1.29 (2025-08-23 19:40), 1.30 (2026-01-16 10:10), 1.31 (2026-02-08 07:10)
Other packages that cited cgam R package
View cgam citation profile
Other R packages that cgam depends, imports, suggests or enhances
Complete documentation for cgam
Functions, R codes and Examples using the cgam R package
Some associated functions: COforest . Ord . ShapeSelect . best.fit . cgam . cgamm . conc . conv . cubic . decr.conc . decr.conv . decr . in.or.out . incr.conc . incr.conv . incr . mental . plasma . plotpersp . predict.cgam . s.conc.conc . s.conc . s.conv.conv . s.conv . s.decr.conc . s.decr.conv . s.decr.decr . s.decr.incr . s.decr . s.incr.conc . s.incr.conv . s.incr.decr . s.incr.incr . s.incr . s . shapes . tree . umbrella . 
Some associated R codes: cgam.R . cgamm.R .  Full cgam package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

modelwordcloud  
Model Word Clouds
Makes a word cloud of text, sized by the frequency of the word, and colored either by user-specified ...
Download / Learn more Package Citations See dependency  
BayesESS  
Determining Effective Sample Size
Determines effective sample size of a parametric prior distribution in Bayesian models. For a web-b ...
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  
enrichwith  
Methods to Enrich R Objects with Extra Components
Provides the "enrich" method to enrich list-like R objects with new, relevant components. The curren ...
Download / Learn more Package Citations See dependency  
bbricks  
Bayesian Methods and Graphical Model Structures for Statistical Modeling
A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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