Other packages > Find by keyword >

detectseparation  

Detect and Check for Separation and Infinite Maximum Likelihood Estimates
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("detectseparation", "0.3")



Attach the package and use:
library("detectseparation")
Maintained by
Ioannis Kosmidis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-25
Latest Update: 2022-08-26
Description:
Provides pre-fit and post-fit methods for detecting separation and infinite maximum likelihood estimates in generalized linear models with categorical responses. The pre-fit methods apply on binomial-response generalized liner models such as logit, probit and cloglog regression, and can be directly supplied as fitting methods to the glm() function. They solve the linear programming problems for the detection of separation developed in Konis (2007, ) using 'ROI' or 'lpSolveAPI' . The post-fit methods apply to models with categorical responses, including binomial-response generalized linear models and multinomial-response models, such as baseline category logits and adjacent category logits models; for example, the models implemented in the 'brglm2' package. The post-fit methods successively refit the model with increasing number of iteratively reweighted least squares iterations, and monitor the ratio of the estimated standard error for each parameter to what it has been in the first iteration. According to the results in Lesaffre & Albert (1989, ), divergence of those ratios indicates data separation.
How to cite:
Ioannis Kosmidis (2020). detectseparation: Detect and Check for Separation and Infinite Maximum Likelihood Estimates. R package version 0.3, https://cran.r-project.org/web/packages/detectseparation. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1 (2020-03-25 17:00), 0.2 (2021-04-22 17:00)
Other packages that cited detectseparation R package
View detectseparation citation profile
Other R packages that detectseparation depends, imports, suggests or enhances
Complete documentation for detectseparation
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

deductive  
Data Correction and Imputation Using Deductive Methods
Attempt to repair inconsistencies and missing values in data records by using information from vali ...
Download / Learn more Package Citations See dependency  
crossrun  
Joint Distribution of Number of Crossings and Longest Run
Joint distribution of number of crossings and the longest run in a series of independent Bernoulli ...
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  
RcppHNSW  
'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors
'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R int ...
Download / Learn more Package Citations See dependency  
kgschart  
KGS Rank Graph Parser
Restore underlining numeric data from rating history graph of KGS (an online platform of the game o ...
Download / Learn more Package Citations See dependency  
pkgdepends  
Package Dependency Resolution and Downloads
Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain ...
Download / Learn more Package Citations See dependency  

23,229

R Packages

199,929

Dependencies

62,984

Author Associations

23,230

Publication Badges

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