Title: Computation of Parameters Used in Preliminary Assessment of
Description: Multi-species estimation of geographical range parameters
for preliminary assessment of conservation status following Criterion B of the
International Union for Conservation of Nature (IUCN,
Imports: fields, geosphere, grDevices, maptools, methods, rgdal, rgeos,

Suggests: knitr, rmarkdown, alphahull, testthat

spatstat, spatstat.utils, tibble, writexl, doParallel, plyr

spatstat, spatstat.utils, tibble, writexl, doParallel, foreach

Imports: fields, geosphere, grDevices, methods, rgdal, rgeos, tibble,
writexl, snow, doSNOW, foreach, rnaturalearth, sf
Suggests: rmarkdown, testthat, rnaturalearthdata, alphahull
person("Gilles", "Dauby", role = c("cre", "aut"),
Author: Gilles Dauby [cre, aut] (<https://orcid.org/0000-0002-9498-413X>)

Title: Partial Linear Least-Squares Regression using Constrained
Maintainer: Mary C Meyer <meyer@stat.colostate.edu>
Description: Given response y, continuous predictor x, and covariate matrix, the relationship between E(y) and x is estimated with a shape-constrained regression spline.  Function outputs fits and various types of inference.
Depends: graphics, grDevices, stats, utils, coneproj
Packaged: 2015-03-30 14:39:08 UTC; marycmeyer

Description: Given response y, continuous predictor x, and covariate matrix, the relationship between E(y) and x is estimated with a shape constrained regression spline.  Function outputs fits and various types of inference.

Depends: graphics, grDevices, stats, utils, coneproj (>= 1.12)
Packaged: 2017-10-02 14:49:59 UTC; xiyueliao

Title: Continuous Associated Kernel Estimation
Author: W. E. Wansouwé, F. G. Libengué and C. C. Kokonendji
Description: Continuous smoothing of probability density function on a compact or semi-infinite support is performed using four continuous associated kernels: extended beta, gamma, lognormal and reciprocal inverse Gaussian. The cross-validation technique is also implemented for bandwidth selection.

Title: An Alternative to the Kruskal-Wallis Test Based on the Kendall
Description: The Concordance Test is a non-parametric method for testing whether two o more samples originate from the same distribution. It extends the Kendall Tau correlation coefficient when there are only two groups. For details, see Monge (2019) <arXiv:1912.12880v1>.