R Observatory: Metrics for SBMTrees version 1.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SBMTrees

1.5Package record

Longitudinal Sequential Imputation and Prediction with Bayesian Trees Mixed-Effects Models for Longitudinal Data

0packages depend

2.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jungang ZouCRAN page ↗

Implements a sequential imputation framework using Bayesian Mixed-Effects Trees ('SBMTrees') for handling missing data in longitudinal studies. The package supports a variety of models, including non-linear relationships and non-normal random effects and residuals, leveraging Dirichlet Process priors for increased flexibility. Key features include handling Missing at Random (MAR) longitudinal data, imputation of both covariates and outcomes, and generating posterior predictive samples for further analysis. The methodology is designed for applications in epidemiology, biostatistics, and other fields requiring robust handling of missing data in longitudinal settings.

Changes in 1.5

**Changes:**

**Model Fixed**: Fix set_data and set_Y functions in BART model.

---

From NEWS.md in the release

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("SBMTrees", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

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-sbmtrees

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-SBMTrees

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# 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-SBMTrees

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 5.9 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-02

Show 6 earlier changesHide 6 earlier changes

ERROR11 OK, 1 ERROR2026-04-25
NOTE11 OK, 3 NOTE2026-04-22
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
NOTE8 OK, 6 NOTE2026-04-10
ERROR7 OK, 6 NOTE, 1 ERROR2026-04-09
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.5

READMEYes · 699 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.5Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 9includes a package overview page
Examples that run: 100%8 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 44%

Vignettes (1)

SBMTrees: Introduction and Usage HTML

How these are measured

Downloads

2.1K

CRAN downloads in the past year

Rank #14,715 · ~6/day · ~174/mo

Releases R versions

Daily download trend is not available in this view yet.

38730 days

81690 days

2.1K1 year

Compare downloads with other packages →

Also on531 r2u1 autocran

How downloads are counted

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Installing SBMTrees adds 66 packages (38 with compiled code, 44 MB of source tarballs). Heaviest: stringi 11 MB, lme4 4.1 MB, glmnet 2.7 MB.

Depends (1)

R >= 4.1.0

Imports (10)

Rcpp lme4Matrixarm dplyr mvtnorm sn micennetMASS

LinkingTo (5)

Rcpp RcppArmadillo RcppDist RcppProgress pg

Suggests (3)

knitr rmarkdown mitml

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (7)

Jungang Zou

Author, Maintainer since 1.1 (2024)

Liangyuan Hu

Author

Robert Gramacy

Contributor · added in 1.4

Robert McCulloch

Contributor

Jean-Sebastien Roy

Contributor · added in 1.4

Charles Spanbauer

Contributor

Rodney Sparapani

Contributor

Releases (4)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.5Latest
record
2026-02-12 · current release · diff ↗
unarchivedReturned to CRAN
2026-02-06
1.4
record
2026-02-06 · diff ↗ ·
removed 1 export
simulation_prediction

added 4 exports
BMLMM_prediction, simulation_imputation_LTFU, simulation_prediction_binary, simulation_prediction_conti
archivedRemoved from CRAN
2025-06-22
issues were not corrected in time
R
R 4.5.0 released · 2025-04-11
1.2
record
2024-12-11 · diff ↗
1.1
record
2024-12-09
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-12-09
Total releases: 4 / 2 yrs
License: GPL-2 OSI
Minimum R: ≥ 4.1.0
Download size: 134 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SBMTrees")

Format

Zou, J., Gramacy, R., Hu, L., McCulloch, R., Roy, J., Spanbauer, C., & Sparapani, R. (2026). SBMTrees: Longitudinal Sequential Imputation and Prediction with Bayesian Trees Mixed-Effects Models for Longitudinal Data (Version 1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.SBMTrees

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SBMTrees version 1.5 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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