Imports: findpython, grDevices, grid, png, rappdirs, Unicode, utils
Suggests: crayon, git2r, ragg, testthat, vdiffr, withr

Description: Interactive shiny application for working with different kinds of
data. Visuals for data are provided. Runtime examples are provided.
Packaged: 2018-10-26 19:40:52 UTC; kartikeya.bolar

Title: Sample size calculations for bivariate longitudinal data
Author: W. Scott Comulada and Robert E. Weiss
Maintainer: W. Scott Comulada <scomulad@ucla.edu>
Description: Implements sample size calculations for bivariate random
intercept regression model that are described in Comulada and

Description: Provides alternatives to persp() for plotting bivariate functions, including both step and continuous functions. Also, provides convenience functions for constructing and plotting bivariate probability distributions. Currently, only normal distributions are supported but other probability distributions are likely to be added in the near future.

Description: Contains convenience functions for constructing and plotting bivariate probability distributions (probability mass functions, probability density functions and cumulative distribution functions). Currently supports uniform (discrete and continuous), binomial, Poisson, normal, bimodal and kernel distributions.

Description: Contains convenience functions for constructing and plotting bivariate probability distributions (probability mass functions, probability density functions and cumulative distribution functions). Currently, supports uniform (discrete and continuous), binomial, Poisson, normal, bimodal and kernel distributions.
Suggests: intoo, empirical, moments, MASS

Description: Contains convenience functions for constructing and plotting bivariate probability distributions (probability mass functions, probability density functions and cumulative distribution functions). Currently, supports uniform (discrete and continuous), binomial, Poisson, normal and bimodal distributions, and kernel smoothing.

Description: Contains convenience functions for constructing, plotting and evaluating bivariate probability distributions, including their probability mass functions, probability 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.
Imports: intoo, barsurf, mvtnorm, KernSmooth