Package: PUPMSI 0.1.0

PUPMSI: Moisture Sorption Isotherm Modeling Program

Contains sixteen moisture sorption isotherm models, which evaluate the fitness of adsorption and desorption curves for further understanding of the relationship between moisture content and water activity. Fitness evaluation is conducted through parameter estimation and error analysis. Moreover, graphical representation, hysteresis area estimation, and isotherm classification through the equation of Blahovec & Yanniotis (2009) <doi:10.1016/j.jfoodeng.2008.08.007> which is based on the classification system introduced by Brunauer et. al. (1940) <doi:10.1021/ja01864a025> are also included for the visualization of models and hysteresis.

Authors:John Carlo Panganiban [aut], Ronald Benz Rivera [aut], Kim Villacorte [aut], Chester Deocaris [aut, ths, cre]

PUPMSI_0.1.0.tar.gz
PUPMSI_0.1.0.zip(r-4.7-any)PUPMSI_0.1.0.zip(r-4.6-any)PUPMSI_0.1.0.zip(r-4.5-any)
PUPMSI_0.1.0.tgz(r-4.6-any)PUPMSI_0.1.0.tgz(r-4.5-any)
PUPMSI_0.1.0.tar.gz(r-4.7-any)PUPMSI_0.1.0.tar.gz(r-4.6-any)
PUPMSI_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
PUPMSI/json (API)

# Install 'PUPMSI' in R:
install.packages('PUPMSI', repos = c('https://chesterdeocaris.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 213 downloads 17 exports 21 dependencies

Last updated from:10ff9a936f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK114
source / vignettesOK143
linux-releaseOK111
macos-releaseOK117
macos-oldrelOK81
windows-develOK101
windows-releaseOK97
windows-oldrelOK77
wasm-releaseOK93

Exports:BETMSIBradleyMSICaurieMSIGABMSIHailHorroMSIHalseyMSIHendersonMSIHysteresisMSIIgleChiMSIKuhnMSILangmuirMSILewicki2MSILewicki3MSIModChenMSIOswinMSIPelegMSISmithMSI

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleMetricsminpack.lmnls2protoR6RColorBrewerrlangS7scalesvctrsviridisLitewithr