Computes the Extended Chen-Poisson (ecp) distribution, survival, 
    density, hazard, cumulative hazard and quantile functions. It also allows 
    to generate a pseudo-random sample from this distribution. The corresponding 
    graphics are available. Functions to obtain measures of skewness and 
    kurtosis, k-th raw moments, conditional k-th moments and mean 
    residual life function were added. For details about ecp distribution, see 
    Sousa-Ferreira, I., Abreu, A.M. & Rocha, C. (2023). 
    <doi:10.57805/revstat.v21i2.405>.

Framework for building evolutionary algorithms for both single- and multi-objective continuous or discrete optimization problems. A set of predefined evolutionary building blocks and operators is included. Moreover, the user can easily set up custom objective functions, operators, building blocks and representations sticking to few conventions. The package allows both a black-box approach for standard tasks (plug-and-play style) and a much more flexible white-box approach where the evolutionary cycle is written by hand.

Easy and rapid quantitative estimation of small terrestrial ectotherm temperature regulation effectiveness in R. ectotemp is built on classical formulas that evaluate temperature regulation by means of various indices, inaugurated by Hertz et al. (1993) <doi: 10.1086/285573>. Options for bootstrapping and permutation testing are included to test hypotheses about divergence between organisms, species or populations.

The cointegration based support vector regression model enables researchers to use data obtained from the cointegrating vector as input in the support vector regression model.

This cointegration based Time Delay Neural Network Model hybrid model allows the researcher to make use of the information extracted by the cointegrating vector as an input in the neural network model.

We implement (or re-implements in R) a variety of statistical
    tools. They are focused on non-parametric two-sample (or k-sample)
    distribution comparisons in the univariate or multivariate case. See
    the vignette for more info.