R Observatory: Metrics for sysAgNPs version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

sysAgNPs

1.0.0Package record

Systematic Quantification of AgNPs to Unleash their Potential for Applicability

0packages depend

2.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Xiting WangCRAN page ↗GitHub ↗

There is variation across AgNPs due to differences in characterization techniques and testing metrics employed in studies. To address this problem, we have developed a systematic evaluation framework called 'sysAgNPs'. Within this framework, Distribution Entropy (DE) is utilized to measure the uncertainty of feature categories of AgNPs, Proclivity Entropy (PE) assesses the preference of these categories, and Combination Entropy (CE) quantifies the uncertainty of feature combinations of AgNPs. Additionally, a Markov chain model is employed to examine the relationships among the sub-features of AgNPs and to determine a Transition Score (TS) scoring standard that is based on steady-state probabilities. The 'sysAgNPs' framework provides metrics for evaluating AgNPs, which helps to unravel their complexity and facilitates effective comparisons among different AgNPs, thereby advancing the scientific research and application of these AgNPs.

Install

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

install.packages("sysAgNPs", 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("xitingwang-ida/sysAgNPs")

Development version from xitingwang-ida/sysAgNPs. 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-sysagnps

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-sysAgNPs

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-sysAgNPs

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: 2.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 207 wordsVignettesNoNEWSNoCitation fileNo

Help pages: 19
Examples that run: 100%9 run in a plain check
Exported functions with examples: 75%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2.1K

CRAN downloads in the past year

Rank #23,346 · ~6/day · ~175/mo

Releases R versions

Daily download trend is not available in this view yet.

24530 days

54290 days

2.1K1 year

Compare downloads with other packages →

Also on71 r2u15 autocran

How downloads are counted

Repository

xitingwang-ida/sysagnps ↗Account: xitingwang-ida

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2025-03-01

Responsiveness

not measured

How these are measured

PracticesBeta

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

Checks run against github.com/xitingwang-ida/sysagnps on 2026-10-11.

Docs source (2)

pkgdown

GitHub Pages site last deployed 2025-03-01

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Installing sysAgNPs adds 92 packages (44 with compiled code, 80 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 3.5.0

Imports (14)

dplyr expm ggplot2 ggpubr magrittr patchwork purrr rio tibble tidyr rlang RColorBrewer forcatsstats

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Xiting Wang

Author, Maintainer since 1.0.0 (2025)

Longfei Mao

Author, Copyright holder

Jiamin Hu

Contributor

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.0.0Latest
record
2025-01-20 · current release
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-01-20
Total releases: 1 / 1 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.5.0
Bundled data: 28 KB / 4 files
Download size: 374 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sysAgNPs")

Format

Wang, X., Hu, J., & Mao, L. (2025). sysAgNPs: Systematic Quantification of AgNPs to Unleash their Potential for Applicability (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.sysAgNPs

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 sysAgNPs version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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