bmco: Bayesian Analysis for Multivariate Categorical Outcomes

X.M. Kavelaars

doi:10.32614/CRAN.package.bmco

bmco: Bayesian Analysis for Multivariate Categorical Outcomes

X.M. Kavelaars

Research output: Non-textual form and Research tools › Software › Academic

Abstract

Provides Bayesian methods for comparing groups on multiple binary outcomes. Includes basic tests using multivariate Bernoulli distributions, subgroup analysis via generalized linear models, and multilevel models for clustered data. For statistical underpinnings, see Kavelaars, Mulder, and Kaptein (2020) <doi:10.1177/0962280220922256>, Kavelaars, Mulder, and Kaptein (2024) <doi:10.1080/00273171.2024.2337340>, and Kavelaars, Mulder, and Kaptein (2023) <doi:10.1186/s12874-023-02034-z>. An interactive shiny app to perform sample size computations is available.

Original language	English
Media of output	Online
DOIs	https://doi.org/10.32614/CRAN.package.bmco
Publication status	Published - 10 Mar 2026

Keywords

R PACKAGE
Bayesian inference
Multilevel analysis
Multivariate analysis
Binary outcomes

Access to Document

10.32614/CRAN.package.bmco

bmco-pwr: Bayesian analysis with Multiple Categorical Outcomes - Power Analysis
Kavelaars, X. M., 2026
Research output: Non-textual form and Research tools › Software › Academic
Bayesian Multivariate Logistic Regression for Superiority and Inferiority Decision-Making under Observable Treatment Heterogeneity
Kavelaars, X., Mulder, J. & Kaptein, M., 2024, In: Multivariate Behavioral Research. 59, 4, p. 859-882 24 p.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
Bayesian multilevel multivariate logistic regression for superiority decision-making under observable treatment heterogeneity
Kavelaars, X., Mulder, J. & Kaptein, M., 5 Oct 2023, In: BMC Medical Research Methodology. 23, 1, p. 220 19 p., 220.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access

Cite this

@misc{2865d7156e094088b4619f4f89ced635,

title = "bmco: Bayesian Analysis for Multivariate Categorical Outcomes",

abstract = "Provides Bayesian methods for comparing groups on multiple binary outcomes. Includes basic tests using multivariate Bernoulli distributions, subgroup analysis via generalized linear models, and multilevel models for clustered data. For statistical underpinnings, see Kavelaars, Mulder, and Kaptein (2020) , Kavelaars, Mulder, and Kaptein (2024) , and Kavelaars, Mulder, and Kaptein (2023) . An interactive shiny app to perform sample size computations is available.",

keywords = "R PACKAGE, Bayesian inference, Multilevel analysis, Multivariate analysis, Binary outcomes",

author = "X.M. Kavelaars",

note = "Kavelaars X (2026). \_bmco: Bayesian Analysis for Multivariate Categorical Outcomes\_. R package version 0.1.0, <https://CRAN.R-project.org/package=bmco>.",

year = "2026",

month = mar,

day = "10",

doi = "10.32614/CRAN.package.bmco",

language = "English",

}

TY - ADVS

T1 - bmco

T2 - Bayesian Analysis for Multivariate Categorical Outcomes

AU - Kavelaars, X.M.

N1 - Kavelaars X (2026). _bmco: Bayesian Analysis for Multivariate Categorical Outcomes_. R package version 0.1.0, <https://CRAN.R-project.org/package=bmco>.

PY - 2026/3/10

Y1 - 2026/3/10

N2 - Provides Bayesian methods for comparing groups on multiple binary outcomes. Includes basic tests using multivariate Bernoulli distributions, subgroup analysis via generalized linear models, and multilevel models for clustered data. For statistical underpinnings, see Kavelaars, Mulder, and Kaptein (2020) , Kavelaars, Mulder, and Kaptein (2024) , and Kavelaars, Mulder, and Kaptein (2023) . An interactive shiny app to perform sample size computations is available.

AB - Provides Bayesian methods for comparing groups on multiple binary outcomes. Includes basic tests using multivariate Bernoulli distributions, subgroup analysis via generalized linear models, and multilevel models for clustered data. For statistical underpinnings, see Kavelaars, Mulder, and Kaptein (2020) , Kavelaars, Mulder, and Kaptein (2024) , and Kavelaars, Mulder, and Kaptein (2023) . An interactive shiny app to perform sample size computations is available.

KW - R PACKAGE

KW - Bayesian inference

KW - Multilevel analysis

KW - Multivariate analysis

KW - Binary outcomes

U2 - 10.32614/CRAN.package.bmco

DO - 10.32614/CRAN.package.bmco

M3 - Software

ER -

bmco: Bayesian Analysis for Multivariate Categorical Outcomes

Abstract

Keywords

Access to Document

Fingerprint

Research output

bmco-pwr: Bayesian analysis with Multiple Categorical Outcomes - Power Analysis

Bayesian Multivariate Logistic Regression for Superiority and Inferiority Decision-Making under Observable Treatment Heterogeneity

Bayesian multilevel multivariate logistic regression for superiority decision-making under observable treatment heterogeneity

Cite this