Authors@R: c(person("Peggy", "Newman", email="peggy.newman@csiro.au", role=c("aut", "cre")),
Suggests: ape, covr, data.table, dplyr, ggplot2, jpeg, knitr, mapdata,
maps, maptools, phytools, rmarkdown, testthat, tidyr, vegan

Imports: RCurl, assertthat, data.table, digest, httr, jsonlite (>=
0.9.8), sp, stringr (>= 1.0.0), wellknown
Suggests: ape, covr, dplyr, ggplot2, jpeg, knitr, mapdata, maps,
maptools, phytools, rmarkdown, testthat, tidyr, vegan

<https://ala.org.au/>. ALA4R provides a subset of the tools to be
Imports: assertthat, data.table, digest, httr, jsonlite (>= 0.9.8), sp,

The Atlas of Living Australia (ALA) provides tools to enable users
ALA4R is deprecated and will be removed from CRAN at the end of 2021.
The package to replace ALA4R, 'galah', is now available on CRAN <https://CRAN.R-project.org/package=galah>.
For an introduction to 'galah', visit the GitHub page <https://github.com/AtlasOfLivingAustralia/galah>.

Title: Algorithm Laplace density quantile regression
Author: Luis Benites Sanchez <lsanchez@ime.unicamp.br>, Victor Lachos
Description: EM algorithm for estimating the parameters and other
Depends: R (>= 2.15.0), compiler, HyperbolicDist, RcppArmadillo, sn
Maintainer: Luis Benites Sanchez <lsanchez@ime.unicamp.br>
Packaged: 2013-05-15 00:41:53 UTC; lbenitesanchez

Title: Quantile Regression Using Asymmetric Laplace Distribution

Description: EM algorithm for estimation of parameters and other

Author: Luis Benites Sanchez <lsanchez@ime.usp.br>,
Maintainer: Luis Benites Sanchez <lsanchez@ime.usp.br>
Description: EM algorithm for estimation of parameters and other methods in a quantile regression.

Author: Luis Benites Sanchez, Christian E. Galarza, Victor H. Lachos
Maintainer: Luis Benites Sanchez <lbenitesanchez@gmail.com>

Title: Accumulated Local Effects (ALE) Plots and Partial Dependence
Description: Visualizes the main effects of individual predictor variables and their second-order interaction effects in black-box supervised learning models. The package creates either Accumulated Local Effects (ALE) plots and/or Partial Dependence (PD) plots, given a fitted supervised learning model.