gtools (>= 3.9.3), MASS, methods, shiny (>= 1.7.2)

Generalise the starting point of the array index, eg
to allow x[0, 0, 0] to be the first element of x.

Generalise the starting point of the array index

Generalise the starting point of the array index.

Outright Tool for the Analysis of Spatial Inequalities and
Segregation
A set of indexes and tests for the analysis of social segregation.

Collect and Process Physical Activity Direct Observation Data
person(c("Paul", "R."), "Hibbing", email = "paulhibbing@gmail.com",
role = c("aut","cre"))
Two-part system for first collecting then managing direct
observation data, as described by Hibbing PR, Ellingson LD,
Dixon PM, & Welk GJ (2018) <doi:10.1249/MSS.0000000000001486>.
svDialogs (>= 1.0.0), AGread (>= 0.1.2), stats

Visualisation of Oceanographic Data and Model Output.
Functions for transforming and viewing 2-D and 3-D (oceanographic) data and model output.

Visualisation of Oceanographic Data and Model Output

methods, graphics, grDevices, stats, rgl, shape

Odds Plot to Visualise a Logistic Regression Model
c(
person("Gary", "Hutson", ,"hutsons-hacks@outlook.com", role= c("aut", "cre"), comment = c(ORCID ="0000-0003-3534-6143")
))
Uses the outputs of a logistic regression model, from caret <https://CRAN.R-project.org/package=caret>, to build an odds plot.
This allows for the rapid visualisation of odds plot ratios and works best with the outputs of CARET's GLM model class, by returning the final trained model.
caret, mlbench, magrittr, ggplot2, tibble, ggthemes, e1071

caret, mlbench, magrittr, ggplot2, tibble, ggthemes, e1071,
tidymodels, rmarkdown

Modeling the Kinetics of CO2 Production in Alcoholic
Fermentation
person(given = "Angelo",
family = "Gava",
role = c("aut", "cre"),
email = "gava.angelogava@gmail.com",
comment = c(ORCID = "0000-0003-0338-6511"))
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 CO2 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 CO2; Moment in which maximum fermentation rate occurs; Duration of the latency phase for CO2 production; CO2 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". <doi:10.1016/j.lwt.2020.109660>.