<http://www.gurobi.com/>). For more information on using
Suggests: knitr, roxygen2, dplyr, vegan, gurobi, gridExtra, rgl,

doParallel, rgeos, rgdal, hypervolume(>= 2.0.7), ks, mvtnorm,
Suggests: knitr, roxygen2, rmarkdown, dplyr, vegan, gurobi, gridExtra,

this package uses the commercial 'Gurobi' software (obtained from
<https://www.gurobi.com/>). For more information on using
Imports: utils, methods, stats, graphics, grDevices, parallel, Matrix
Suggests: knitr, roxygen2, rmarkdown, testthat, RgoogleMaps (>=

Title: Linear Model with Tree-Based Lasso Regularization for Rare
Description: Implementation of an alternating direction method of multipliers
algorithm for fitting a linear model with tree-based lasso regularization,
which is proposed in Algorithm 1 of Yan and Bien (2018) <arXiv:1803.06675>.
The package allows efficient model fitting on the entire 2-dimensional
regularization path for large datasets. The complete set of functions
also makes the entire process of tuning regularization parameters and

Title: Testing Gene-Environment Interaction for Rare Genetic Variants
Description: Tests gene-environment interaction for rare genetic variants using Sequence Kernel Association Test (SKAT) type gene-based tests. Includes two tests for the interaction term only, and one joint test for genetic main effects and gene-environment interaction.

Title: Ecological and biogeographical null model tests for comparing
Author: Luis Cayuela and Nicholas J. Gotelli
Description: Randomization tests for the statistical comparison of \emph{i} = two or more individual-based, sample-based or coverage-based rarefaction curves. The ecological null hypothesis is that the \emph{i} samples were all drawn randomly from a single assemblage, with (necessarily) a single underlying species abundance distribution. The biogeographic null hypothesis is that the \emph{i} samples were all drawn from different assemblages that, nonetheless, share similar species richness and species abundance distributions

Title: Ecological and Biogeographical Null Model Tests for Comparing
Description: Randomization tests for the statistical comparison of i = two or more individual-based, sample-based or coverage-based rarefaction curves. The ecological null hypothesis is that the i samples were all drawn randomly from a single assemblage, with (necessarily) a single underlying species abundance distribution. The biogeographic null hypothesis is that the i samples were all drawn from different assemblages that, nonetheless, share similar species richness and species abundance distributions. Functions are described in L. Cayuela, N.J. Gotelli & R.K. Colwell (2015) <doi:10.1890/14-1261.1>.