Imports: utils, stringr, quantreg, stats, ggplot2, testit, scales,

Title: Ecological Limit Function Model Generation and Analysis Toolkit
A toolset for generating Ecological Limit Function (ELF) models and evaluating potential species loss resulting from flow change, based on the 'elfgen' framework. ELFs describe the relation between aquatic species richness (fish or benthic macroinvertebrates) and stream size characteristics (streamflow or drainage area). Journal publications are available outlining framework methodology (Kleiner et al. (2020) <doi:10.1111/1752-1688.12876>) and application (Rapp et al. (2020) <doi:10.1111/1752-1688.12877>).

Title: Sampling from a Empirical Likelihood Bayesian Posterior of
Parameters Using Hamiltonian Monte Carlo
Author: Dang Trung Kien <stadtk@nus.edu.sg>, Sanjay Chaudhuri <stasc@nus.edu.sg>, Neo Han Wei <a0086731@u.nus.edu>,
Description: A tool to draw samples from a Empirical Likelihood Bayesian posterior
of parameters using Hamiltonian Monte Carlo.

Author: Dang Trung Kien <kien.dang@nus.edu.sg>, Sanjay Chaudhuri <stasc@nus.edu.sg>, Neo Han Wei <a0086731@u.nus.edu>,
Imports: emplik, plyr, stats, MASS, utils

Description: An alternative to Exploratory Factor Analysis (EFA) for
metrical data in R. Drawing on characteristics of classical test
theory, Exploratory Likert Scaling (ELiS) supports the user exploring
multiple one-dimensional data structures. In common research practice,
however, EFA remains the go-to method to uncover the (underlying)
structure of a data set. Orthogonal dimensions and the potential of
overextraction are often accepted as side effects. As described in
Müller-Schneider (2001) <doi:10.1515/zfsoz-2001-0404>), ELiS confronts
these problems. As a result, 'elisr' provides the platform to fully
exploit the exploratory potential of the multiple scaling approach
Suggests: covr, devtools, knitr, pkgdown, psych, rmarkdown, testthat

Title: Equipment for Logarithmic and Linear Time Stepwise Multiple
Author: Jiangtao Gou and Fengqing (Zoe) Zhang
Description: Recently many new p-value based multiple test procedures have been proposed, and these new methods are more powerful than the widely used Hochberg procedure. These procedures strongly control the familywise error rate (FWER). This is a comprehensive collection of p-value based FWER-control stepwise multiple test procedures, including six procedure families and thirty multiple test procedures. In this collection, the conservative Hochberg procedure, linear time Hommel procedures, asymptotic Rom procedure, Gou-Tamhane-Xi-Rom procedures, and Quick procedures are all developed in recent five years since 2014. The package name "elitism" is an acronym of "e"quipment for "l"ogarithmic and l"i"near "ti"me "s"tepwise "m"ultiple hypothesis testing. Version 1.0.0 was released on June 26, 2019. See Gou, J., and Zhang, F. (2020). Quick multiple test procedures and p-value adjustments. Technical report.
Packaged: 2019-06-30 17:20:12 UTC; jiangtaogou