Package: TWW 0.1.0

Derek Wilus

TWW: Growth Models

A model for the growth of self-limiting populations using three, four, or five parameter functions, which have wide applications in a variety of fields. The dependent variable in a dynamical modeling could be the population size at time x, where x is the independent variable. In the analysis of quantitative polymerase chain reaction (qPCR), the dependent variable would be the fluorescence intensity and the independent variable the cycle number. This package then would calculate the TWW cycle threshold.

Authors:Mohammad Tabatabai [aut], Derek Wilus [aut, cre]

TWW_0.1.0.tar.gz
TWW_0.1.0.zip(r-4.7-any)TWW_0.1.0.zip(r-4.6-any)
TWW_0.1.0.tar.gz(r-4.7-any)TWW_0.1.0.tar.gz(r-4.6-any)
TWW_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
TWW/json (API)

# Install 'TWW' in R:
install.packages('TWW', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 294 downloads 1 exports 0 dependencies

Last updated from:e92b019c5d. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK82
source / vignettesOK128
linux-releaseOK82
windows-develOK58
windows-releaseOK44
wasm-releaseOK68

Exports:tww

Dependencies: