J. Malia Andrus, Timothy Kuehlhorn, Luis F. Rodriguez, Angela D. Kent, and Julie L. Zilles
The CommunityCorrelogram package is designed for the geostatistical analysis of ecological community datasets with either a spatial or temporal distance component.

Ana C. Braga, with contributions from Hugo Frade
Package that allow you to compare two ROC curves
throughout the methodology propose by Ana C. Braga

Ana C. Braga with contributions from Hugo Frade, Sara Carvalho and Andre M. Santiago
Ana C. Braga <acb@dps.uminho.pt>; Andre M. Santiago <andreportugalsantiago@gmail.com>
Comparison of two ROC curves through the methodology proposed by Ana C. Braga.

Ana C. Braga with contributions from Hugo Frade and Sara Carvalho
Comparison of two ROC curves throughout the methodology propose by Ana C. Braga.

Statistical Functions for the Design of Studies with Composite
Endpoints
Marta Bofill Roig [aut, cre], Jordi Cortes Martinez [aut], Guadalupe Gomez Melis [ctb]
It has been designed to calculate the required sample size in randomized clinical trials with composite endpoints. This package also includes functions to calculate the probability of observing the composite endpoint and the expected effect on the composite endpoint, among others. The methods implemented can be found in  Bofill & Gómez (2019) (DOI:10.1002/sim.8092) and Gómez & Lagakos (2013) (DOI:10.1002/sim.5547).

It has been designed to calculate the required sample size in randomized clinical trials with composite endpoints. This package also includes functions to calculate the probability of observing the composite endpoint and the expected effect on the composite endpoint, among others. The methods implemented can be found in  Bofill & Gómez (2019) <doi:10.1002/sim.8092> and Gómez & Lagakos (2013) <doi:10.1002/sim.5547>.

stats, copula, ggplot2, rootSolve, numDeriv

stats, utils, copula, ggplot2, ggpubr, rootSolve, numDeriv

fExtremes, actuar, VGAM, rmutil, PearsonDS
Computes density function, cumulative distribution function, quantile function and random numbers for a multisection composite distribution specified by the user.  Also fits the user specified distribution to a given data set.  More details of the package can be found in the following paper submitted to the R journal Wiegand M and Nadarajah S (2017)  CompDist: Multisection composite distributions.