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mcmcsae

0.8.2Package record

Markov Chain Monte Carlo Small Area Estimation

0packages dependsuggested by 1
6.5Kdownloads / year
66.1%test coverage
13/13flavors OK

Overview

About

Fit multi-level models with possibly correlated random effects using Markov Chain Monte Carlo simulation. Such models allow smoothing over space and time and are useful in, for example, small area estimation.

Changes in 0.8.2
  • small changes to C++ code for mapped sparse matrices to be compatible with Eigen 5.0 as used by upcoming version of RcppEigen
  • added option of Polya-Gamma data augmentation for an approximate Gibbs sampler for gamma sampling distribution family
  • support for faster rng via R package randompack
  • deprecated arguments b0 and Q0 for normal prior mean and precision have been removed; now they must be specified through function pr_normal

From NEWS in the release

Install

Health

CRAN checks
13OK
Slowest check: 12.8 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-25
  • ERROR12 OK, 1 ERROR2026-07-29
  • OK13 OK2026-07-21
  • ERROR11 OK, 1 ERROR2026-04-25
  • NOTE12 OK, 2 NOTE2026-04-22
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.8.2
READMENoVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 0.8.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
92 (4 internal)includes a package overview page
Examples that run
20%9 run in a plain check · 24 only when donttest examples are enabled (R CMD check --as-cran) · 11 never run
Exported functions with examples
45%
Documented parameters
97%
Return-value docs
96%
Help pages citing references
20%

Downloads

6.5K
CRAN downloads in the past year
Rank #7,021 · ~18/day · ~545/mo
Daily download trend is not available in this view yet.
49230 days
1.2K90 days
6.5K1 year
Compare downloads with other packages →
Also on363 r2u5 autocran

Dependencies

Declared dependencies
21 external dependencies (excludes base and recommended)

Installing mcmcsae adds 24 packages (15 with compiled code, 13 MB of source tarballs). Heaviest: loo 2.7 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)
R >= 4.1.0
Imports (6)
LinkingTo (4)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

People & History

People (2)
Author, Maintainer since 0.5.0 (2020)
Releases (15)

Pick two releases to compare their code metrics.

  • 0.8.2Latest
    record
    2026-10-17 · current release · diff ↗ ·
    removed 3 exports
    CG, create_cMVN_sampler, sim_marg_var
    added 6 exports
    apply_m, apply_tm, gamma_control, set_rng, upd_m, upd_tm
  • 0.8.1
    record
    2026-07-20 · diff ↗ ·
    removed 1 export
    negbin_control
    added 11 exports
    bayesR2, binomial_control, cMVN_control, f_multi, f_student_t, gaussian_control, loo, multinomial_control, negbinomial_control, student_t_control, waic
  • R
    R 4.6.0 released · 2026-04-24
  • 0.8.0
    record
    2025-09-12 · diff ↗ ·
    added 1 export
    s
  • 0.7.9
    record
    2025-06-04 · diff ↗ ·
    removed 1 export
    spline
    added 4 exports
    negbin_control, poisson_control, set_constraints, splines
  • R
    R 4.5.0 released · 2025-04-11
  • 0.7.8
    record
    2024-12-11 · diff ↗ ·
    removed 4 exports
    compute_GMRF_matrices, nchains, ndraws, nvars
    added 11 exports
    GMRF_structure, create_cMVN_sampler, mc_offset, n_chains, n_draws, n_vars, pr_beta, pr_truncnormal, pr_unif, set_MH, sim_marg_var
  • R
    R 4.4.0 released · 2024-04-24
  • 0.7.7
    record
    2024-02-27 · diff ↗ ·
    removed 2 exports
    bart, setup_CG_sampler
    added 11 exports
    AR1, RW1, RW2, brt, custom, f_gaussian_gamma, gen_control, iid, season, spatial, spline
  • 0.7.6
    record
    2023-12-02 · diff ↗
  • 0.7.5
    record
    2023-10-10 · diff ↗ ·
    removed 2 exports
    maximize_llh, set_opts
    added 6 exports
    chol_control, f_gamma, maximize_log_lh_p, pr_MLiG, pr_gamma, pr_normal
  • 0.7.4
    record
    2023-06-29 · diff ↗ ·
    added 2 exports
    CG_control, sampler_control
  • 0.7.3
    record
    2023-06-02 · diff ↗ ·
    added 6 exports
    bart, m_Gibbs, m_HMC, m_HMCZigZag, m_direct, m_softTMVN
  • R
    R 4.3.0 released · 2023-04-21
  • 0.7.2
    record
    2023-02-04 · diff ↗
  • 0.7.1
    record
    2022-09-02 · diff ↗
Show 6 earlier eventsHide 6 earlier events
  • R
    R 4.2.0 released · 2022-04-22
  • 0.7.0
    record
    2021-10-10 · diff ↗ ·
    added 6 exports
    CG, SBC_test, f_multinomial, f_poisson, setup_CG_sampler, to_draws_array
  • R
    R 4.1.0 released · 2021-05-18
  • 0.6.0
    record
    2021-01-20 · diff ↗ ·
    added 4 exports
    labels<-, mec, pr_fixed, pr_gig
  • 0.5.0
    record
    2020-09-01
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-09-01
Total releases
15 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 4.1.0
Download size
399 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mcmcsae")
Boonstra, H. J., & Baltissen, G. (2026). mcmcsae: Markov Chain Monte Carlo Small Area Estimation (Version 0.8.2) [Computer software]. https://doi.org/10.32614/CRAN.package.mcmcsae

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mcmcsae version 0.8.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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