R Observatory: Metrics for LSPFP version 1.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

LSPFP

1.0.3

Lysate and Secretome Peptide Feature Plotter

0packages depend

2.7Kdownloads / year

–test coverage

11/13checks pass

Overview

About

Maintained by Gereon PoschmannFirst published 2016-05-192 releasesCRAN page ↗

Creates plots of peptides from shotgun proteomics analysis of secretome and lysate samples. These plots contain associated protein features and scores for potential secretion and truncation.

Install

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

install.packages("LSPFP", 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-lspfp

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-LSPFP

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-LSPFP

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

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc

Slowest check: 1.3 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

9

Dependencies · direct

Check history

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 67%
Documented parameters: 100%
Return-value docs: 100%
References docs: 50%

Downloads

2.7K

CRAN downloads in the past year

Rank #16,139 · ~7/day · ~228/mo

Releases R versions

Daily download trend is not available in this view yet.

17330 days

65690 days

2.7K1 year

Compare downloads with other packages →

Also on108 r2u16 autocran21 c2d4u

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (4)

seqinr RCurl data.table bit64

Imports (5)

R.utilsgraphicsgrDevicesstatsutils

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (2)

Rafael Dellen

no longer listed · 1.0.0 to 1.0.3

with contributions of Fabian Kruse

no longer listed · 1.0.0 to 1.0.3

Package Timeline

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

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
1.0.3Latest
2020-05-14 · current release · diff ↗
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
1.0.0
2016-05-19
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-05-19
Total releases: 2 / 10 yrs
License: GPL-3 OSI
Download size: 41 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Genomics, Proteomics, Metabolomics, Transcriptomics, and Other Omics

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("LSPFP")

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 LSPFP version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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