aRD: Adjusted Risk Differences via Specifically Penalized Likelihood

Package: aRD 0.1.0

Thomas Wolf

aRD: Adjusted Risk Differences via Specifically Penalized Likelihood

Fits a linear-binomial model using a modified Newton-type algorithm for solving the maximum likelihood estimation problem under linear box constraints. Similar methods are described in Wagenpfeil, Schöpe and Bekhit (2025, ISBN:9783111341972) "Estimation of adjusted relative risks in log-binomial regression using the BSW algorithm". In: Mau, Mukhin, Wang and Xu (Eds.), Biokybernetika. De Gruyter, Berlin, pp. 665–676.

Authors:Thomas Wolf [aut, cre], Julius Johannes Weise [aut], Stefan Wagenpfeil [aut]

aRD_0.1.0.tar.gz
aRD_0.1.0.zip(r-4.7-any)aRD_0.1.0.zip(r-4.6-any)aRD_0.1.0.zip(r-4.5-any)
aRD_0.1.0.tgz(r-4.6-any)aRD_0.1.0.tgz(r-4.5-any)
aRD_0.1.0.tar.gz(r-4.7-any)aRD_0.1.0.tar.gz(r-4.6-any)
aRD_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
aRD/json (API)

# Install 'aRD' in R:

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

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

On CRAN:

3.00 score 411 downloads 10 exports 11 dependencies

Last updated from:79b2c88de4. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	131
source / vignettes	OK	165
linux-release	OK	140
macos-release	OK	200
macos-oldrel	OK	222
windows-devel	OK	111
windows-release	OK	104
windows-oldrel	OK	70
wasm-release	OK	92

Exports:aRD bootaRD coef confint constr gradF hess obj_value summary variable_selection_aRD

Dependencies:backports boot checkmate cli lattice Matrix matrixStats osqp quadprog Rcpp S7

Validation

Rendered fromValidation.Rmdusingknitr::rmarkdown

Help page	Topics
Adjusted Risk differences via specifically penalized likelihood	aRD
S4 Class '"aRD"'	aRD-class
Bootstrapping for Risk Differences estimated by 'aRD()'	bootaRD
Extracting the estimated model parameters of 'aRD()'	coef,aRD-method
Estimating confidence intervals of the estimated model parameters of 'aRD()'	confint,aRD-method
Setting the linear inequality constraints for 'aRD()'	constr
Deriving the first derivatives of the log likelihood function of the linear-binomial model in 'aRD()'	gradF
Deriving the second partial derivatives of the log likelihood function of the linear-binomial model in 'aRD()' (Hessian matrix)	hess
Log-Likelihood Function Value for the linear-binomial model in 'aRD()'	obj_value
Summarizing the estimated model parameters of 'aRD()'	summary,aRD-method
Variable Selection (Forward or Backward) for linear-Binomial Models	variable_selection_aRD

Help page

Topics

Adjusted Risk differences via specifically penalized likelihood

aRD

S4 Class '"aRD"'

aRD-class

Bootstrapping for Risk Differences estimated by 'aRD()'

bootaRD

Extracting the estimated model parameters of 'aRD()'

coef,aRD-method

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

confint,aRD-method