Title: Latent Class Models with Covariate Effects on Underlying and
Author: Aurelie Bertrand <aurelie.bertrand@uclouvain.be> and Christian
Description: Estimation of latent class models with covariate effects
on underlying and measured variables. The measured variables
are dichotomous or polytomous, all with the same number of
Packaged: 2013-06-10 07:53:54 UTC; aurbertrand

Title: Robust Covariance Estimation via Nearest Neighbor Cleaning
Author: Naisyin Wang <nwang@stat.tamu.edu> and Adrian Raftery
<raftery@stat.washington.edu> with contributions from Chris
Description: The cov.nnve() function for robust covariance estimation
by the nearest neighbor variance estimation (NNVE) method of

Author: Naisyin Wang <nwangaa@umich.edu> and Adrian Raftery
<raftery@uw.edu> with contributions from Chris Fraley

<raftery@uw.edu> with contributions from Chris Fraley <fraley@uw.edu>
Description: The cov.nnve() function implements robust covariance estimation

Title: Computes covariance test for adaptive linear modelling
Author: Richard Lockhart, Jon Taylor, Ryan Tibshirani, Rob Tibshirani
Description: This package computes covariance test for the lasso.

Authors@R: c(person("Ben", "Barnard", email = "ben_barnard@outlook.com", role = c("aut", "cre")),
person("Dean", "Young", email = "dean_young@baylor.edu", role = c("aut")))
Description: Testing functions for Covariance Matrices. These tests include high-dimension homogeneity of covariance
matrix testing described by Schott (2007) <doi:10.1016/j.csda.2007.03.004> and high-dimensional one-sample tests of
covariance matrix structure described by Fisher, et al. (2010) <doi:10.1016/j.jmva.2010.07.004>. Covariance matrix
tests use C++ to speed performance and allow larger data sets.
Imports: lazyeval, stringr, dplyr, shiny, Rcpp
Packaged: 2017-11-21 19:21:50 UTC; benbarnard

Packaged: 2017-11-24 16:29:36 UTC; ben_barnard

Packaged: 2017-12-14 17:11:31 UTC; benbarnard

Packaged: 2018-01-30 19:05:33 UTC; ben_barnard

Title: Local Polynomial Regression of State Dependent Covariates in
email = "cmoe@aqua.dtu.dk", role = c("aut", "cre"))
Maintainer: Christoffer Moesgaard Albertsen <cmoe@aqua.dtu.dk>
Description: Facilitates local polynomial regression for state dependent covariates in state-space models. The functionality can also be used from 'C++' based model builder tools such as 'Rcpp'/'inline', 'TMB', or 'JAGS'.
Author: Christoffer Moesgaard Albertsen [aut, cre]