Description: Convenience functions for constructing, plotting and evaluating bivariate probability distributions, including their probability mass/density functions and cumulative distribution functions. Supports uniform (discrete and continuous), binomial, Poisson, categorical, normal, bimodal and Dirichlet (trivariate) distributions, and kernel smoothing and empirical cumulative distribution functions.

Description: Convenience functions for plotting/evaluating bivariate (uniform, binomial, Poisson, categorical, normal and bimodal) distributions, trivariate (normal and Dirichlet) distributions, bivariate kernel density estimates and bivariate empirical cumulative distribution functions. Supports their probability mass functions (PMFs), probability density functions (PDFs) and cumulative distribution functions (CDFs), generally where applicable.

Description: Convenience functions for plotting/evaluating bivariate (uniform, binomial, Poisson, categorical, normal and bimodal) distributions, trivariate (normal and Dirichlet) distributions, bivariate kernel density estimates and bivariate empirical cumulative distribution functions. Supports their probability mass functions (PMFs), probability density functions (PDFs) and cumulative distribution functions (CDFs), mostly where applicable.

Authors@R: person("Jose","Hidasi-Neto", email = "hidasineto@gmail.com", role = c("aut","cre"))
Description: Contains functions to plot bivariate maps and to generate grids from shapefiles based on area coverage. For more info, see: Hidasi-Neto, J (2015) <https://rfunctions.blogspot.com/2015/03/bivariate-maps-bivariatemap-function.html>, Hidasi-Neto, J (2014) <https://rfunctions.blogspot.com/2014/12/gridfilter-intersect-grid-with-shape.html>.
Packaged: 2022-05-03 13:12:13 UTC; José Hidasi Neto

Title: Roy's Bivariate Geometric Distribution
Imports: methods, stats, utils, bbmle, copula
Description: Implements Roy's bivariate geometric model (Roy (1993) <doi:10.1006/jmva.1993.1065>): joint probability mass function, distribution function, survival function, random generation, parameter estimation, and more.