R Observatory: Metrics for bimixt version 1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2022-04-27. Its history is shown below.

Reason: check issues were not corrected in time. length > 1 in && or ||

Details below reflect version 1.0, its last release before removal.

bimixt

1.0

Estimates Mixture Models for Case-Control Data

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Michelle Winerip1 releasesCRAN page ↗

Estimates non-Gaussian mixture models of case-control data. The four types of models supported are binormal, two component constrained, two component unconstrained, and four component. The most general model is the four component model, under which both cases and controls are distributed according to a mixture of two unimodal distributions. In the four component model, the two component distributions of the control mixture may be distinct from the two components of the case mixture distribution. In the two component unconstrained model, the components of the control and case mixtures are the same; however the mixture probabilities may differ for cases and controls. In the two component constrained model, all controls are distributed according to one of the two components while cases follow a mixture distribution of the two components. In the binormal model, cases and controls are distributed according to distinct unimodal distributions. These models assume that Box-Cox transformed case and control data with a common lambda parameter are distributed according to Gaussian mixture distributions. Model parameters are estimated using the expectation-maximization (EM) algorithm. Likelihood ratio test comparison of nested models can be performed using the lr.test function. AUC and PAUC values can be computed for the model-based and empirical ROC curves using the auc and pauc functions, respectively. The model-based and empirical ROC curves can be graphed using the roc.plot function. Finally, the model-based density estimates can be visualized by plotting a model object created with the bimixt.model function.

Install

R (source archive)Ubuntu (r2u)openSUSE (OBS)

url <- "https://cran.r-project.org/src/contrib/Archive/bimixt/bimixt_1.0.tar.gz"
pkgFile <- "bimixt_1.0.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.0) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bimixt

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-bimixt

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

None

Tests · ratio 0.00

not tracked

Coverage

1

Dependencies · direct

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: not tracked
Return-value docs: not tracked
References docs: 41%

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on20 r2u22 autocran

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Depends (1)

pROC

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Other (3)

Michelle Winerip

Contributor

Garrick Wallstrom

Contributor

Joshua LaBaer

Contributor

Package Timeline

1 release. R releases are shown for context.

R
R 4.3.0 released · 2023-04-21
archivedRemoved from CRAN
2022-04-27
check issues were not corrected in time length > 1 in && or ||
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
1.0
2015-08-24
R
R 3.2.0 released · 2015-04-16

Package metadata

Total releases: 1
License: GPL (>= 3) OSI
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bimixt")

Format

Winerip, M., Wallstrom, G., & LaBaer, J. (n.d.). bimixt: Estimates Mixture Models for Case-Control Data (Version 1.0) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=bimixt

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for bimixt version 1.0 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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