growthrates

R Package growthrates

https://github.com/tpetzoldt/growthrates

Science Score: 49.0%

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    Found 12 DOI reference(s) in README
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    1 of 3 committers (33.3%) from academic institutions
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    Low similarity (13.6%) to scientific vocabulary
Last synced: 7 months ago · JSON representation

Repository

R Package growthrates

Basic Info
Statistics
  • Stars: 27
  • Watchers: 5
  • Forks: 7
  • Open Issues: 1
  • Releases: 0
Created over 10 years ago · Last pushed 7 months ago
Metadata Files
Readme License

README.md

CRAN_Status_Badge Downloads

R package growthrates

Estimate Growth Rates from Experimental Data

The population growth rate is the main indicator of population fitness. This R package provides a collection of methods to determine growth rates from experimental data, in particular from batch experiments and microwell plate reader trials.

Overview

The package contains basically three methods:

  • fit a linear regression to a subset of data with the steepest log-linear increase (a method, similar to Hall et al., 2014),

  • fit parametric nonlinear models to the complete data set, where the model functions can be given either in closed form or as numerically solved (system of) differential equation(s),

  • use maximum of the 1st derivative of a smoothing spline with log-transformed y-values (similar to Kahm et al., 2010).

The package can fit data sets of single experiments or complete series containing multiple data sets. Included are functions for extracting estimates and for plotting. The package supports growth models given as numerically solved differential equations. Multi-core computation is used to speed up fitting of parametric models.

Documentation

Download and Installation

Release version (recommended)

The package is available on CRAN. Install it from within R or RStudio as usual or with:

R install.packages("growthrates")

Development version

Install with package devtools:

R install.packages("devtools") library(devtools) install_github("tpetzoldt/growthrates")

References

Hall, B. G., H. Acar, A. Nandipati, and M. Barlow. 2014. Growth Rates Made Easy. Mol. Biol. Evol. 31: 232-38. https://dx.doi.org/10.1093/molbev/mst187

Kahm, Matthias, Guido Hasenbrink, Hella Lichtenberg-Frate, Jost Ludwig, and Maik Kschischo. 2010. grofit: Fitting Biological Growth Curves with R. Journal of Statistical Software 33 (7): 1-21. https://dx.doi.org/10.18637/jss.v033.i07

R Core Team. 2015. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/

Soetaert, Karline, and Thomas Petzoldt. 2010. Inverse Modelling, Sensitivity and Monte Carlo Analysis in R Using Package FME. Journal of Statistical Software 33 (3): 1-28. https://dx.doi.org/10.18637/jss.v033.i03

Soetaert, Karline, Thomas Petzoldt, and R. Woodrow Setzer. 2010. Solving Differential Equations in R: Package deSolve. Journal of Statistical Software 33 (9): 1-25. https://dx.doi.org/10.18637/jss.v033.i09

Author

tpetzoldt

Owner

  • Name: Thomas Petzoldt
  • Login: tpetzoldt
  • Kind: user
  • Location: Dresden 51.02718 13.74699
  • Company: TU Dresden

limnology and ecological modelling, member of scientific staff

GitHub Events

Total
  • Watch event: 1
  • Push event: 7
  • Create event: 1
Last Year
  • Watch event: 1
  • Push event: 7
  • Create event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 229
  • Total Committers: 3
  • Avg Commits per committer: 76.333
  • Development Distribution Score (DDS): 0.013
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
thpe t****t@t****e 226
michbur m****z@g****m 2
jo j****h 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 4
  • Total pull requests: 2
  • Average time to close issues: 3 months
  • Average time to close pull requests: 12 minutes
  • Total issue authors: 4
  • Total pull request authors: 2
  • Average comments per issue: 2.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • bznes (1)
  • brmagalis (1)
  • mretier (1)
  • Pereiraehs (1)
Pull Request Authors
  • michbur (1)
  • jotech (1)
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 529 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 9
  • Total maintainers: 1
cran.r-project.org: growthrates

Estimate Growth Rates from Experimental Data

  • Versions: 9
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 529 Last month
Rankings
Forks count: 9.6%
Stargazers count: 10.3%
Average: 18.7%
Downloads: 21.0%
Dependent repos count: 23.9%
Dependent packages count: 28.7%
Last synced: 7 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.2 depends
  • deSolve * depends
  • lattice * depends
  • FME * imports
  • graphics * imports
  • methods * imports
  • parallel * imports
  • stats * imports
  • utils * imports
  • knitr * suggests
  • rmarkdown * suggests