mvMORPH, lmtest, parallel, phangorn, rlist, scales, R.utils,
binr, RColorBrewer, nlme, penalized, smatr, data.tree, car,
outliers, emmeans, picante, vegan, plotrix, cluster, tseries

Description: Functions for phylogenetic analysis (Castiglione et al, 2018 <doi:10.1111/2041-210X.12954>). The functions perform the estimation of phenotypic evolutionary rates, identification of phenotypic evolutionary rate shifts, quantification of direction and size of evolutionary change in multivariate traits, the computation of ontogenetic shape vectors and test for morphological convergence.
binr, RColorBrewer, nlme, smatr, car, outliers, picante, vegan,
plotrix, cluster, tseries, ddpcr, geomorph

Imports: ape, phytools, geiger, stats4, foreach, doParallel, parallel
Suggests: phangorn, rlist, scales, R.utils,cluster, RColorBrewer, nlme,
car, smatr, picante, vegan,ddpcr, geomorph, rmarkdown,
knitr,kableExtra, plotrix, pdftools, rgl, mvMORPH, ggplot2,

Imports: ape, phytools, geiger, stats4, foreach, doParallel, lmtest,
parallel, phangorn, rlist, scales, R.utils, binr, RColorBrewer,
nlme, smatr, car, outliers, picante, vegan, plotrix, cluster,

Suggests: phangorn, rlist, scales, R.utils,cluster,binr, RColorBrewer,
nlme, car, smatr, picante, vegan,ddpcr, geomorph, rmarkdown,

qpdf, inflection, Rvcg, Morpho, evolqg, manipulate

qpdf, inflection, Rvcg, Morpho, evolqg, manipulate, webshot2,

Description: Functions for phylogenetic analysis (Castiglione et al., 2018 <doi:10.1111/2041-210X.12954>). The functions perform the estimation of phenotypic evolutionary rates, identification of phenotypic evolutionary rate shifts, quantification of direction and size of evolutionary change in multivariate traits, the computation of ontogenetic shape vectors and test for morphological convergence.
Imports: ape, phytools, stats4, foreach, doParallel, parallel

qpdf, inflection, Rvcg, Morpho, evolqg, manipulate, markdown,

Title: Correlation and Regression Analyses of Randomized Response
Authors@R: c(person( given="Daniel W.",family="Heck",email="dheck@mail.uni-mannheim.de", role=c("aut","cre")),
Author: Daniel W. Heck [aut, cre], Morten Moshagen [aut]
Maintainer: Daniel W. Heck <dheck@mail.uni-mannheim.de>
Description: RRreg provides univariate and multivariate methods to analyze randomized response (RR) survey designs (e.g., Warner, S. L. (1965). Randomized response: A survey technique for eliminating evasive answer bias. Journal of the American Statistical Association, 60, 63–69). Besides univariate estimates of true proportions, RR variables can be used for correlations, as dependent variable in a logistic regression and as predictors in a linear regression. For simulation and bootstrap purposes, RR data can be generated according to several models.
Collate: 'RRcheck.R' 'RRcor.models.R' 'RRcor.R' 'RRgen.R'