Depends: R (>= 2.6.0), Kendall, mvtnorm, VGAM

Description: Statistical tests widely utilized in biostatistics, public policy, and law. Along with the well-known tests for equality of means and variances, randomness, and measures of relative variability, the package contains new robust tests of symmetry, omnibus and directional tests of normality, and their graphical counterparts such as robust QQ plot, robust trend tests for variances, etc. All implemented tests and methods are illustrated by simulations and real-life examples from legal statistics, economics, and biostatistics.

Title: Loglikelihood Adjustment for Extreme Value Models
person("Camellia", "Yin", role = c("aut", "cph"))
Description: Performs adjusted inferences based on model objects fitted, using
maximum likelihood estimation, by the extreme value analysis packages
Adjusted standard errors and an adjusted loglikelihood are provided, using
and the object-oriented features of the 'sandwich' package
<https://cran.r-project.org/package=sandwich>. The adjustment is based on a
robust sandwich estimator of the parameter covariance matrix, based on the
methodology in Chandler and Bate (2007) <doi:10.1093/biomet/asm015>. This
can be used for cluster correlated data when interest lies in the
parameters of the marginal distributions, or for performing inferences that
are robust to certain types of model misspecification.  Univariate extreme
value models, including regression models, are supported.
Imports: chandwich, graphics, methods, numDeriv, revdbayes, sandwich,
Suggests: distillery, evd, evir, extRemes, fExtremes, ismev, knitr,

Imports: chandwich, graphics, numDeriv, revdbayes, sandwich, stats,

Suggests: distillery, eva, evd, evir, extRemes, fExtremes, ismev,
knitr, mev, POT, rmarkdown, testthat, texmex

Title: Tilts your Maps and Turns Them into Ggplot Objects
c(person("Marco", "Sciaini", email = "marco@kaldera.dev", role = c("aut", "cre")),
person("Cédric", "Scherer", email = "cedricphilippscherer@gmail.com", role = "aut"))
Description: Simplifies the whole process of creating stacked tilted maps, that are often used in scientific publications to show different environmental layers for a geographical region. Tilting maps and layering them allows to easily draw visual correlations between these environmental layers.
Imports: raster, stars, sf, dplyr, scico, ggplot2, ggnewscale