This is an add-on to the 'cna' package <https://CRAN.R-project.org/package=cna> comprising various functions for optimizing consistency and coverage scores of models of configurational comparative methods as Coincidence Analysis (CNA) and Qualitative Comparative Analysis (QCA). The function conCovOpt() calculates con-cov optima, selectMax() selects con-cov maxima among the con-cov optima, DNFbuild() can be used to build models actually reaching those optima, and findOutcomes() identifies those factor values in analyzed data that can be modeled as outcomes. For a theoretical introduction to these functions see Baumgartner and Ambuehl (2021) <doi:10.1177/0049124121995554>.

c(person("Mathias", "Ambuehl", role = c("aut", "cre", "cph"),
email = "mathias.ambuehl@consultag.ch"),
person("Michael", "Baumgartner", role = c("aut", "cph"),
email = "michael.baumgartner@uib.no")
)
Rcpp (>= 1.0.7), matrixStats, ggplot2, dplyr, stats, utils

Provided R functions for working with the Conditional Negative Binomial distribution.

Canonical Non-symmetrical Correspondence Analysis in R
Ana Belen Nieto Librero <ananieto@usal.es>, Priscila Willems
<pwillems@bariloche.inta.gov.ar>, Purificacion Galindo
Villardon <pgalindo@usal.es>
Provides a GUI with which users can construct and interact
with Canonical Non-symmetrical Correspondence Analysis.

Canonical Non-Symmetrical Correspondence Analysis in R
rgl, tkrplot, tcltk, tcltk2, shapes, plotrix, MASS
A GUI with which users can construct and interact
with Canonical Correspondence Analysis and Canonical Non-Symmetrical Correspondence Analysis and provides inferential results by using Bootstrap Methods.

Maximum Likelihood Estimation of a Log-Concave Density Function
Contains functions for computing the nonparametric maximum
likelihood estimate of a log-concave density function from
univariate observations. The log-density estimate is always a
piecewise linear function.

Contains functions for computing the nonparametric maximum likelihood estimate of a log-concave density function from univariate observations. This log-density estimate is always a piecewise linear function.