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lbm
View on CRAN: Click
here
Download and install lbm package within the R console
Install from CRAN:
install.packages("lbm")
Install from Github:
library("remotes")
install_github("cran/lbm")
Install by package version:
library("remotes")
install_version("lbm", "0.9.0.2")
Attach the package and use:
library("lbm")
Maintained by
Chao Zhu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-02
Latest Update: 2021-11-02
Description:
Fit the log binomial regression model (LBM) by Exact method. Limited parameter space of
LBM causes trouble to find admissible estimates and fail to converge when MLE is close to or on
the boundary of space. Exact method utilizes the property of boundary vectors to re-parametrize
the model without losing any information, and fits the model on the standard fitting algorithm
with no convergence issues.
How to cite:
Chao Zhu (2021). lbm: Log Binomial Regression Model in Exact Method. R package version 0.9.0.2, https://cran.r-project.org/web/packages/lbm
Previous versions and publish date:
No previous versions
Other packages that cited lbm R package
View lbm citation profile
Other R packages that lbm depends,
imports, suggests or enhances
Functions, R codes and Examples using
the lbm R package
Some associated functions: lbm.control . lbm .
Some associated R codes: lbm.R . lbm_NR.R . lbm_reform.R . lbm_starting_values.R . Full lbm package functions and examples
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