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FlexGAM  

Generalized Additive Models with Flexible Response Functions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FlexGAM", "0.7.2")



Attach the package and use:
library("FlexGAM")
Maintained by
Elmar Spiegel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-02-21
Latest Update: 2020-06-07
Description:
Standard generalized additive models assume a response function, which induces an assumption on the shape of the distribution of the response. However, miss-specifying the response function results in biased estimates. Therefore in Spiegel et al. (2017) we propose to estimate the response function jointly with the covariate effects. This package provides the underlying functions to estimate these generalized additive models with flexible response functions. The estimation is based on an iterative algorithm. In the outer loop the response function is estimated, while in the inner loop the covariate effects are determined. For the response function a strictly monotone P-spline is used while the covariate effects are estimated based on a modified Fisher-Scoring algorithm. Overall the estimation relies on the 'mgcv'-package.
How to cite:
Elmar Spiegel (2018). FlexGAM: Generalized Additive Models with Flexible Response Functions. R package version 0.7.2, https://cran.r-project.org/web/packages/FlexGAM
Previous versions and publish date:
0.7.0 (2018-02-21 17:40)
Other packages that cited FlexGAM R package
View FlexGAM citation profile
Other R packages that FlexGAM depends, imports, suggests or enhances
Functions, R codes and Examples using the FlexGAM R package
Some associated functions: Methods . deviance_flexgam . flexgam . match_flexgam_control . outputs . plot_flexgam . predict_flexgam . response_function_flexgam . 
Some associated R codes: flexgam_extra.R . flexgam_inner.R . flexgam_optimize.R . flexgam_outputs.R . flexgam_start.R . my_pcls_gam.R .  Full FlexGAM package functions and examples
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