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serp  

Smooth Effects on Response Penalty for CLM
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("serp", "0.2.5")



Attach the package and use:
library("serp")
Maintained by
Ejike R. Ugba
[Scholar Profile | Author Map]
First Published: 2021-01-29
Latest Update: 2022-02-16
Description:
A regularization method for the cumulative link models. The smooth-effect-on-response penalty (SERP) provides flexible modelling of the ordinal model by enabling the smooth transition from the general cumulative link model to a coarser form of the same model. In other words, as the tuning parameter goes from zero to infinity, the subject-specific effects associated with each variable in the model tend to a unique global effect. The parameter estimates of the general cumulative model are mostly unidentifiable or at least only identifiable within a range of the entire parameter space. Thus, by maximizing a penalized rather than the usual non-penalized log-likelihood, this and other numerical problems common with the general model are to a large extent eliminated. Fitting is via a modified Newton's method. Several standard model performance and descriptive methods are also available. For more details on the penalty implemented here, see, Ugba (2021) and Ugba et al. (2021) .
How to cite:
Ejike R. Ugba (2021). serp: Smooth Effects on Response Penalty for CLM. R package version 0.2.5, https://cran.r-project.org/web/packages/serp. Accessed 10 Jan. 2025.
Previous versions and publish date:
0.1.8 (2021-01-29 09:50), 0.2.0 (2021-07-25 15:40), 0.2.1 (2021-09-02 00:10), 0.2.3 (2021-11-07 21:40), 0.2.4 (2022-02-16 08:50)
Other packages that cited serp R package
View serp citation profile
Other R packages that serp depends, imports, suggests or enhances
Complete documentation for serp
Functions, R codes and Examples using the serp R package
Some associated functions: AIC.serp . BIC.serp . anova.serp . coef.serp . confint.serp . logLik.serp . predict.serp . print.serp . print.summary.serp . serp.control . serp . summary.serp . vcov.serp . wine . 
Some associated R codes: serp.R . serp.anova.R . serp.confint.R . serp.control.R . serp.fit.R . serp.method.R . serp.misc.R . serp.vcov.R . wine.R .  Full serp package functions and examples
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