The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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) <doi:10.1007/s11222-017-9799-6> 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.
Version: | 0.7.2 |
Depends: | R (≥ 3.4.0), mgcv (≥ 1.8-23) |
Imports: | graphics, MASS, Matrix, scam, splines, stats |
Published: | 2020-06-07 |
DOI: | 10.32614/CRAN.package.FlexGAM |
Author: | Elmar Spiegel [aut, cre] |
Maintainer: | Elmar Spiegel <espiege at uni-goettingen.de> |
License: | GPL-2 |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | FlexGAM results |
Reference manual: | FlexGAM.pdf |
Package source: | FlexGAM_0.7.2.tar.gz |
Windows binaries: | r-devel: FlexGAM_0.7.2.zip, r-release: FlexGAM_0.7.2.zip, r-oldrel: FlexGAM_0.7.2.zip |
macOS binaries: | r-release (arm64): FlexGAM_0.7.2.tgz, r-oldrel (arm64): FlexGAM_0.7.2.tgz, r-release (x86_64): FlexGAM_0.7.2.tgz, r-oldrel (x86_64): FlexGAM_0.7.2.tgz |
Old sources: | FlexGAM archive |
Please use the canonical form https://CRAN.R-project.org/package=FlexGAM to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.