Density, distribution function, quantile function
    and random generation for a number of univariate
    and multivariate distributions. This package implements the
    following distributions: Bernoulli, beta-binomial, beta-negative
    binomial, beta prime, Bhattacharjee, Birnbaum-Saunders,
    bivariate normal, bivariate Poisson, categorical, Dirichlet,
    Dirichlet-multinomial, discrete gamma, discrete Laplace,
    discrete normal, discrete uniform, discrete Weibull, Frechet,
    gamma-Poisson, generalized extreme value, Gompertz,
    generalized Pareto, Gumbel, half-Cauchy, half-normal, half-t,
    Huber density, inverse chi-squared, inverse-gamma, Kumaraswamy,
    Laplace, location-scale t, logarithmic, Lomax, multivariate
    hypergeometric, multinomial, negative hypergeometric,
    non-standard beta, normal mixture, Poisson mixture, Pareto,
    power, reparametrized beta, Rayleigh, shifted Gompertz, Skellam,
    slash, triangular, truncated binomial, truncated normal,
    truncated Poisson, Tukey lambda, Wald, zero-inflated binomial,
    zero-inflated negative binomial, zero-inflated Poisson.

Tools to using fonts other than the standard PostScript fonts.
    This package makes it easy to use system TrueType fonts and with PDF or
    PostScript output files, and with bitmap output files in Windows. extrafont
    can also be used with fonts packaged specifically to be used with, such as
    the fontcm package, which has Computer Modern PostScript fonts with math
    symbols.

It is meant to be used with the 'extrafont' package. The 'extrafont' package contains the code to install and use fonts, while the 'extrafontdb' package contains the font database.

Provide estimation and data generation tools for new multivariate frailty models.
             This version includes the gamma, inverse Gaussian, weighted Lindley, Birnbaum-Saunders,
	     truncated normal, mixture of inverse Gaussian, mixture of Birnbaum-Saunders, 
             generalized exponential and Jorgensen-Seshadri-Whitmore as the distribution for
             frailty terms. For the basal model, it is considered a parametric approach based 
             on the exponential, Weibull and the piecewise exponential distributions as well as a 
             semiparametric approach. For details, see Gallardo et al. (2024) <doi:10.1007/s11222-024-10458-w>,
             Gallardo et al. (2025) <doi:10.1002/bimj.70044>, Kiprotich et al. (2025) <doi:10.1177/09622802251338984>
             and Gallardo et al. (2025) <doi:10.1038/s41598-025-15903-y>.