Other packages > Find by keyword >

OenoKPM  

Modeling the Kinetics of Carbon Dioxide Production in Alcoholic Fermentation
View on CRAN: Click here


Download and install OenoKPM package within the R console
Install from CRAN:
install.packages("OenoKPM")

Install from Github:
library("remotes")
install_github("cran/OenoKPM")

Install by package version:
library("remotes")
install_version("OenoKPM", "2.4.1")



Attach the package and use:
library("OenoKPM")
Maintained by
Angelo Gava
[Scholar Profile | Author Map]
First Published: 2021-06-24
Latest Update: 2023-01-10
Description:
Developed to help researchers who need to model the kinetics of carbon dioxide (CO2) production in alcoholic fermentation of wines, beers and other fermented products. The following models are available for modeling the carbon dioxide production curve as a function of time: 5PL, Gompertz and 4PL. This package has different functions, which applied can: perform the modeling of the data obtained in the fermentation and return the coefficients, analyze the model fit and return different statistical metrics, and calculate the kinetic parameters: Maximum production of carbon dioxide; Maximum rate of production of carbon dioxide; Moment in which maximum fermentation rate occurs; Duration of the latency phase for carbon dioxide production; Carbon dioxide produced until maximum fermentation rate occurs. In addition, a function that generates graphs with the observed and predicted data from the models, isolated and combined, is available. Gava, A., Borsato, D., & Ficagna, E. (2020)."Effect of mixture of fining agents on the fermentation kinetics of base wine for sparkling wine production: Use of methodology for modeling". .
How to cite:
Angelo Gava (2021). OenoKPM: Modeling the Kinetics of Carbon Dioxide Production in Alcoholic Fermentation. R package version 2.4.1, https://cran.r-project.org/web/packages/OenoKPM. Accessed 03 Jun. 2025.
Previous versions and publish date:
0.1.2 (2021-06-24 09:40), 2.1.1 (2022-11-11 13:40), 2.1.3 (2022-11-24 02:00), 2.2.1 (2023-01-10 22:43), 2.3.1 (2024-04-08 05:42)
Other packages that cited OenoKPM R package
View OenoKPM citation profile
Other R packages that OenoKPM depends, imports, suggests or enhances
Complete documentation for OenoKPM
Functions, R codes and Examples using the OenoKPM R package
Some associated functions: coeff . kp . metrics . plot_fit . pred . 
Some associated R codes: Coeff.R . kp.R . metrics.R . plot_fit.R . pred.R .  Full OenoKPM package functions and examples
Downloads during the last 30 days
05/0405/0505/0605/0705/0805/0905/1005/1105/1205/1305/1405/1505/1605/1705/1805/1905/2005/2105/2205/2305/2405/2505/2605/2706/01Downloads for OenoKPM12345678910111213TrendBars

Today's Hot Picks in Authors and Packages

FSDAM  
Forward Stepwise Deep Autoencoder-Based Monotone NLDR
FS-DAM performs feature extraction through latent variables identification. Implementation is based ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
bild  
A Package for BInary Longitudinal Data
Performs logistic regression for binary longitudinal data, allowing for serial dependence among obs ...
Download / Learn more Package Citations See dependency  
trotter  
Pseudo-Vectors Containing All Permutations, Combinations and Subsets of Objects Taken from a Vector
Class definitions and constructors for pseudo-vectors containing all permutations, combinations and ...
Download / Learn more Package Citations See dependency  
XML2R  
Easier XML Data Collection
XML2R is a framework that reduces the effort required to transformXML content into number of ...
Download / Learn more Package Citations See dependency  
treecm  
Centre of Mass Assessment and Consolidation of Trees
The centre of mass is a crucial data for arborists in order to consolidate a tree using steel or dy ...
Download / Learn more Package Citations See dependency  

24,352

R Packages

207,311

Dependencies

65,804

Author Associations

24,331

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA