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Blend

0.1.3Package record

Robust Bayesian Longitudinal Regularized Semiparametric Mixed Models

0packages depend
3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Our recently developed fully robust Bayesian semiparametric mixed-effect model for high-dimensional longitudinal studies with heterogeneous observations can be implemented through this package. This model can distinguish between time-varying interactions and constant-effect-only cases to avoid model misspecifications. Facilitated by spike-and-slab priors, this model leads to superior performance in estimation, identification and statistical inference. In particular, robust Bayesian inferences in terms of valid Bayesian credible intervals on both parametric and nonparametric effects can be validated on finite samples. The Markov chain Monte Carlo algorithms of the proposed and alternative models are efficiently implemented in 'C++'.

Install

Health

CRAN checks
13OK
Slowest check: 5.2 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
Show 1 earlier changeHide 1 earlier change
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.1.3
READMEYes · 278 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
6includes a package overview page
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
33%

Downloads

3K
CRAN downloads in the past year
Rank #11,579 · ~8/day · ~248/mo
Daily download trend is not available in this view yet.
44030 days
93890 days
3K1 year
Compare downloads with other packages →
Also on394 r2u39 autocran

Repository

0Stars
0Forks
1Open issues
0Open PRs
0Releases
Last activity 2026-09-28
Responsiveness
not measured
PracticesBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/kunfa/blend on 2026-10-21.

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing Blend adds 19 packages (9 with compiled code, 16 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, isoband 1.5 MB.

Depends (1)
R >= 4.2.0
Imports (4)
Rcppsplinesstatsggplot2
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.1.0 (2024)
Author
Releases (5)

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Package metadata

First published
2024-11-25
Total releases
5 / 2 yrs
License
GPL-2 OSI
Minimum R
≥ 4.2.0
Bundled data
10 KB / 1 file
Download size
43 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Blend")
Fan, K., & Wu, C. (2026). Blend: Robust Bayesian Longitudinal Regularized Semiparametric Mixed Models (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.Blend

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 Blend version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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