R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
bgw
View on CRAN: Click
here
Download and install bgw package within the R console
Install from CRAN:
install.packages("bgw")
Install from Github:
library("remotes")
install_github("cran/bgw") Install by package version:
library("remotes")
install_version("bgw", "0.1.3") Attach the package and use:
library("bgw")
Maintained by
David S. Bunch
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-12-22
Latest Update: 2024-03-29
Description:
Performs statistical estimation and inference-related computations
by accessing and executing modified versions of 'Fortran' subroutines
originally published in the Association for Computing Machinery (ACM)
journal Transactions on Mathematical Software (TOMS) by Bunch, Gay and
Welsch (1993) . The acronym 'BGW' (from the
authors' last names) will be used when making reference to technical
content (e.g., algorithm, methodology) that originally appeared in ACM TOMS.
A key feature of BGW is that it exploits the special structure of statistical
estimation problems within a trust-region-based optimization approach to
produce an estimation algorithm that is much more effective than the usual
practice of using optimization methods and codes originally developed for
general optimization. The 'bgw' package bundles 'R' wrapper (and related)
functions with modified 'Fortran' source code so that it can be compiled and
linked in the 'R' environment for fast execution. This version implements
a function ('bgw_mle.R') that performs maximum likelihood estimation (MLE)
for a user-provided model object that computes probabilities (a.k.a.
probability densities). The original motivation for producing this package
was to provide fast, efficient, and reliable MLE for discrete choice models
that can be called from the 'Apollo' choice modelling 'R' package (
see ). Starting with the release of
Apollo 3.0, BGW is the default estimation package. However, estimation can also
be performed using BGW in a stand-alone fashion without using 'Apollo'
(as shown in simple examples included in the package). Note also that BGW
capabilities are not limited to MLE, and future extension to other estimators
(e.g., nonlinear least squares, generalized method of moments, etc.) is possible.
The 'Fortran' code included in 'bgw' was modified by one of the
original BGW authors (Bunch) under his rights as confirmed by direct
consultation with the ACM Intellectual Property and Rights Manager. See
. The main
requirement is clear citation of the original publication (see above).
How to cite:
David S. Bunch (2022). bgw: Bunch-Gay-Welsch Statistical Estimation. R package version 0.1.3, https://cran.r-project.org/web/packages/bgw. Accessed 05 Jun. 2026.
Previous versions and publish date:
Other packages that cited bgw R package
View bgw citation profile
Other R packages that bgw depends,
imports, suggests or enhances
Complete documentation for bgw
Functions, R codes and Examples using
the bgw R package
Some associated functions: bgw-internal . bgw_checkSetting . bgw_drglg . bgw_itsum . bgw_mle . bgw_mle_setup . bgw_writeIterations .
Some associated R codes: bgw_checkSetting.R . bgw_drglg.R . bgw_itsum.R . bgw_mle.R . bgw_mle_setup.R . bgw_writeIterations.R . Full bgw package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
envirem
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Pascal Title (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
msm
Functions for fitting continuous-time Markov and hidden
Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Christopher Jackson (view profile)
crossurr
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Denis Agniel (view profile)
ibb
Call wrappers for Istanbul Metropolitan
Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Berk Orbay (view profile)
27,268
R Packages
233,548
Dependencies
72,590
Author Associations
27,205
Publication Badges
