Package: ARES
Type: Package
Title: Allelic richness estimation, with extrapolation beyond the sample size
Version: 1.2-3
Date: 2007-02-01
Author: Emiel van Loon and Scott Davis
Maintainer: Emiel van Loon <vanloon@uva.nl>
Description: Generates an allelic richness accumulation curve. This curve shows
the expected number of unique alleles in a population when taking a sample of
individuals. The function aresCalc takes a binary data matrix as input,
showing the presence of alleles per individual, and gives an accumulation
curve (mean with 95\% confidence bounds) back. The function aresPlot can be
used to plot the output from aresCalc.
License: GPL version 2 or later
Packaged: Mon Oct 29 23:16:00 2007; scott

Package: ARES
Type: Package
Title: Allelic richness estimation, with extrapolation beyond the sample size
Version: 1.2
Date: 2007-02-01
Author: Emiel van Loon and Scott Davis
Maintainer: Emiel van Loon <vanloon@uva.nl>
Description: Generates an allelic richness accumulation curve. This curve shows
the expected number of unique alleles in a population when taking a sample of
individuals. The function aresCalc takes a binary data matrix as input,
showing the presence of alleles per individual, and gives an accumulation
curve (mean with 95\% confidence bounds) back. The function aresPlot can be
used to plot the output from aresCalc.
License: GPL version 2 or later
Packaged: Thu Feb  1 17:08:44 2007; sdavis

Author: Washington Junger <wjunger@ims.uerj.br> and Antonio Ponce de
Title: Environment air pollution epidemiology: a library for time
Description: A toolbox for time series analyses using generalized
additive models. This library includes routines for model
estimation and diagnostics. Polynomial distributed lag models

Title: Adaptable Regularized Hotelling's T^2 Test for High-Dimensional
Authors@R: person("Haoran", "Li", email = "hrli@ucdavis.edu", role = c("aut", "cre"))
Description: Perform the Adaptable Regularized Hotelling's T^2 test (ARHT) proposed by
Li et al., (2016) <arXiv:1609.08725>. Both one-sample and two-sample mean test are available with
various probabilistic alternative prior models. It contains a function to consistently
estimate higher order moments of the population covariance spectral distribution using
the spectral of the sample covariance matrix (Bai et al. (2010) <doi:10.1111/j.1467-842X.2010.00590.x>).
In addition, it contains a function to sample from 3-variate chi-squared random vectors approximately
with a given correlation matrix when the degrees of freedom are large.