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)PUPMSI_0.1.0.zip(r-4.6)PUPMSI_0.1.0.zip(r-4.5)
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
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 192 downloads 17 exports 21 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK139
source / vignettesOK156
linux-release-x86_64OK123
macos-release-arm64OK106
macos-oldrel-arm64OK85
windows-develOK97
windows-releaseOK101
windows-oldrelOK85
wasm-releaseOK92

Exports:BETMSIBradleyMSICaurieMSIGABMSIHailHorroMSIHalseyMSIHendersonMSIHysteresisMSIIgleChiMSIKuhnMSILangmuirMSILewicki2MSILewicki3MSIModChenMSIOswinMSIPelegMSISmithMSI

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleMetricsminpack.lmnls2protoR6RColorBrewerrlangS7scalesvctrsviridisLitewithr