BSW: Fitting a Log-Binomial Model Using the Bekhit–Schöpe

Package: BSW 0.1.2

Julius Johannes Weise

BSW: Fitting a Log-Binomial Model Using the Bekhit–Schöpe–Wagenpfeil (BSW) Algorithm

Implements a modified Newton-type algorithm (BSW algorithm) for solving the maximum likelihood estimation problem in fitting a log-binomial model under linear inequality constraints.

Authors:Adam Bekhit [aut], Jakob Schöpe [aut], Thomas Wolf [aut], Julius Johannes Weise [aut, cre], Stefan Wagenpfeil [aut]

BSW_0.1.2.tar.gz
BSW_0.1.2.zip(r-4.7-any)BSW_0.1.2.zip(r-4.6-any)BSW_0.1.2.zip(r-4.5-any)
BSW_0.1.2.tgz(r-4.6-any)BSW_0.1.2.tgz(r-4.5-any)
BSW_0.1.2.tar.gz(r-4.7-any)BSW_0.1.2.tar.gz(r-4.6-any)
BSW_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BSW/json (API)

# Install 'BSW' in R:

install.packages('BSW', repos = c('https://uds-mf-imbei.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/uds-mf-imbei/bsw/issues

On CRAN:

4.00 score 4 scripts 369 downloads 5 mentions 9 exports 7 dependencies

Last updated from:5274209f4b. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	144
source / vignettes	OK	169
linux-release	OK	129
macos-release	OK	118
macos-oldrel	OK	136
windows-devel	OK	103
windows-release	OK	119
windows-oldrel	OK	101
wasm-release	OK	90

Exports:bootbsw bsw coef confint constr gradF hess summary variable_selection_bsw

Dependencies:backports boot checkmate lattice Matrix matrixStats quadprog

Validation

Test Suite

Rendered fromValidation.Rmdusingknitr::rmarkdown

Help page	Topics
Estimating bootstrap statistics of 'bsw()'	bootbsw
Fitting a log-binomial model using the Bekhit-Schöpe-Wagenpfeil (BSW) algorithm	bsw
S4 Class '"bsw"'	bsw-class
Extracting the estimated model parameters of 'bsw()'	coef,bsw-method
Estimating confidence intervals of the estimated model parameters of 'bsw()'	confint,bsw-method
Setting the linear inequality constraints for 'bsw()'	constr
Deriving the first derivatives of the log likelihood function of the log-binomial model in 'bsw()'	gradF
Deriving the second partial derivatives of the log likelihood function of the log-binomial model in 'bsw()' (Hessian matrix)	hess
Summarizing the estimated model parameters of 'bsw()'	summary,bsw-method
Variable Selection (Forward or Backward) for models of 'BSW()'	variable_selection_bsw

Help page

Topics

Estimating bootstrap statistics of 'bsw()'

bootbsw

Fitting a log-binomial model using the Bekhit-Schöpe-Wagenpfeil (BSW) algorithm

bsw

S4 Class '"bsw"'

bsw-class

Extracting the estimated model parameters of 'bsw()'

coef,bsw-method

Estimating confidence intervals of the estimated model parameters of 'bsw()'

confint,bsw-method