Title: Insertion/Deletion Dynamics for Transposable Elements
Description: Provides functions to estimate the insertion and deletion rates of transposable element (TE) families. The estimation of insertion rate consists of an improved estimate of the age distribution that takes into account random mutations, and an adjustment by the deletion rate. A hypothesis test for a uniform insertion rate is also implemented. This package implements the methods proposed in Dai et al (2018).

Title: Multiple Hypothesis Testing on an Aggregation Tree Method
Author: John Pura, Cliburn Chan, and Jichun Xie
Description: An implementation of the TEAM algorithm to identify local differences
between two (e.g. case and control) independent, univariate distributions, as
described in J Pura, C Chan, and J Xie (2019) <arXiv:1906.07757>. The algorithm
is based on embedding a multiple-testing procedure on a hierarchical structure
to identify high-resolution differences between two distributions. The
hierarchical structure is designed to identify strong, short-range differences
at lower layers and weaker, but long-range differences at increasing layers.
TEAM yields consistent layer-specific and overall false discovery rate control.

Title: Turbulence time series Event Detection and classification
Author: Yanfei Kang, Danijel Belusic and Kate Smith-Miles
Description: TED performs event detection and classification in turbulence time series.
Imports: foreach, zoo, fields, animation, geoR, tcltk, utils,

Title: Turbulence Time Series Event Detection and Classification
Description: TED performs Turbulence time series Event Detection and classification.

Imports: foreach, zoo, fields, animation, geoR, tcltk, utils, doMC,

Title: Trimmed Elemental Estimation for Linear Models
Description: For fitting multiple linear regressions, the ordinary least squares approach is sensitive to outliers and/or violations of model assumptions. The trimmed elemental estimators are more robust to such situations. This package contains functions for computing the trimmed elemental estimates, as well as for creating the bias-corrected and accelerated bootstrap confidence intervals in the context of trimmed elemental regressions.
Packaged: 2014-10-07 08:07:58 UTC; Will Jiang