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BMRMM

1.0.1

An Implementation of the Bayesian Markov (Renewal) Mixed Models

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Overview

About
Maintained by Yutong WuFirst published 2021-11-155 releasesCRAN page ↗

The Bayesian Markov renewal mixed models take sequentially observed categorical data with continuous duration times, being either state duration or inter-state duration. These models comprehensively analyze the stochastic dynamics of both state transitions and duration times under the influence of multiple exogenous factors and random individual effect. The default setting flexibly models the transition probabilities using Dirichlet mixtures and the duration times using gamma mixtures. It also provides the flexibility of modeling the categorical sequences using Bayesian Markov mixed models alone, either ignoring the duration times altogether or dividing duration time into multiples of an additional category in the sequence by a user-specific unit. The package allows extensive inference of the state transition probabilities and the duration times as well as relevant plots and graphs. It also includes a synthetic data set to demonstrate the desired format of input data set and the utility of various functions. Methods for Bayesian Markov renewal mixed models are as described in: Abhra Sarkar et al., (2018) doi:10.1080/01621459.2018.1423986 and Yutong Wu et al., (2022) doi:10.1093/biostatistics/kxac050.

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  • NOTE2026-08-01
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  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
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Documented parameters
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Return-value docs
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References docs
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Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
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Code & Tests

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Maintainer (1)
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Authors (2)
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Author · added in 0.0.2
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.1Latest
    2024-04-22 · current release · diff ↗
  • 1.0.0
    2023-06-19 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.0.3
    2023-01-21 · diff ↗
  • 0.0.2
    2023-01-06 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.0.1
    2021-11-15
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-11-15
Total releases
5 / 5 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 2.10
Bundled data
100 KB / 2 files
Download size
127 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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