R Observatory: Metrics for BaMORC version 1.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2021-04-14. Its history is shown below.

Reason: policy violation. on Internet access

Details below reflect version 1.0.1, its last release before removal.

BaMORC

1.0.1Package record

Bayesian Model Optimized Reference Correction Method for Assigned and Unassigned Protein NMR Spectra

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Xi ChenCRAN page ↗GitHub ↗

Provides reference correction for protein NMR spectra. Bayesian Model Optimized Reference Correction (BaMORC) is utilizing Bayesian probabilistic framework to perform protein NMR referencing correction, currently for alpha and beta carbon-13 chemical shifts, without any resonance assignment and/or three-dimensional protein structure. For more detailed explanation, please refer to the paper "Automatic 13C Chemical Shift Reference Correction for Unassigned Protein NMR Spectra" https://rdcu.be/4ly5 (Journal of Biomolecular NMR, Aug 2018)" doi:10.1007/s10858-018-0202-5.

Changes in 1.0.1

Minor change

Update the VignetteIndexEntry.

From NEWS.md in the release

Install

R (source archive)pak (dev)

url <- "https://cran.r-project.org/src/contrib/Archive/BaMORC/BaMORC_1.0.1.tar.gz"
pkgFile <- "BaMORC_1.0.1.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.0.1) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

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

Development version from MoseleyBioinformaticsLab/BaMORC. Installs pak first if it is not already available.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.1

READMEYes · 280 wordsVignettesYes · 2 · dynamicNEWSYes · 100% structured · mentions 1.0.1Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 30
Examples that run: 100%10 run in a plain check
Exported functions with examples: 100%
Documented parameters: 97%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

BaMORC Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on22 autocran

How downloads are counted

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.1.0

Imports (11)

data.table tidyr DEoptim httr docopt stringr jsonlite readr devtools RBMRB BMRBr

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown formatR

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Xi Chen

Author, Maintainer since 1.0 (2018)

Andrey Smelter

Author

Hunter Moseley

Author

Releases (2)

Pick two releases to compare their code metrics.

R
R 4.1.0 released · 2021-05-18
archivedRemoved from CRAN
2021-04-14
policy violation on Internet access
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
1.0.1
record
2019-01-02 · diff ↗
1.0
record
2018-11-14
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-11-14
Total releases: 2 / 8 yrs
License: BSD_3_clause + file LICENSE OSI
Minimum R: ≥ 3.1.0
Bundled data: 2.1 MB / 4 files

Cite

Cite this package

Run in R for the authors' entry:

citation("BaMORC")

The package provides a citation file, so citation() returns the authors' own entry.

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 BaMORC version 1.0.1 [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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