R Observatory: Metrics for SMFilter version 1.0.5

Balamuta, James Joseph

SMFilter

1.0.5

Filtering Algorithms for the State Space Models on the Stiefel Manifold

1packages depend

2.5Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Yukai YangFirst published 2018-11-264 releasesCRAN page ↗GitHub ↗

Provides the filtering algorithms for the state space models on the Stiefel manifold as well as the corresponding sampling algorithms for uniform, vector Langevin-Bingham and matrix Langevin-Bingham distributions on the Stiefel manifold.

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("yukai-yang/SMFilter")

Development version from yukai-yang/SMFilter. Installs pak first if it is not already available.

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-smfilter

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-SMFilter

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-SMFilter

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.5 min · r-oldrel-macos-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

0

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-07-27
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-03-10
0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 353 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 89%
References docs: 0%

Downloads

2.5K

CRAN downloads in the past year

Rank #16,954 · ~7/day · ~207/mo

Releases R versions

Daily download trend is not available in this view yet.

19030 days

62190 days

2.5K1 year

Compare downloads with other packages →

Also on100 r2u6 autocran

Repository

GitHub ↗ yukai-yang/smfilter

2Stars

0Forks

0Open issues

0Open PRs

3Releases

48Commits

1Contributors

state-space-modelsstiefel-manifoldfilteringsamplingnonlinear-optimizationnonlinear-dynamicsreduced-rank-parameterstime-series-models

License GPL-3.0 · 48 commits · Last activity 2026-07-20

Stars over time

2018-11-22 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/yukai-yang/smfilter on 2026-08-03.

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Governance and community (1)

Issue templates

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.0.0

Imports (0)

none

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown ggplot2

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

tip

Code & Tests

People & History

People (1)

Maintainer (1)

Yukai Yang

Author, Maintainer

Authors (1)

Yukai Yang

Author, Maintainer

Package Timeline

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

1.0.5Latest
2026-07-21 · current release · diff ↗
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
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
1.0.3
2018-12-12 · diff ↗
1.0.2
2018-12-03 · diff ↗
1.0.0
2018-11-26
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-11-26
Total releases: 4 / 8 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.0.0
Download size: 96 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("SMFilter")

CRAN DOI

https://doi.org/10.32614/CRAN.package.SMFilter

BibTeX, derived from DESCRIPTION

@Manual{SMFilter,
  title  = {SMFilter: Filtering Algorithms for the State Space Models on the Stiefel
Manifold},
  author = {Yang, Yukai},
  year   = {2026},
  note   = {R package version 1.0.5},
  doi    = {10.32614/CRAN.package.SMFilter},
  url    = {https://CRAN.R-project.org/package=SMFilter}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorySMFilter,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {SMFilter} version 1.0.5},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/SMFilter},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for SMFilter version 1.0.5 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/SMFilter

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for SMFilter version 1.0.5
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/SMFilter
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/SMFilter.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

Report a problem with this page →