Linear Model with Tree-Based Lasso Regularization for Rare
Features
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
visualizing results hassle-free.

Testing Gene-Environment Interaction for Rare Genetic Variants
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.

Ecological and biogeographical null model tests for comparing
rarefaction curves
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

Ecological and Biogeographical Null Model Tests for Comparing
Rarefaction Curves
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>.