Packaged: 2022-06-21 15:08:40 UTC; swihartbj

Title: Multivariate Generalized Linear Mixed Models for Ranking Sports
Author: Andrew T. Karl (Adsurgo LLC), Jennifer Broatch (Arizona State University)
Maintainer: Andrew T. Karl <akarl@asu.edu>
Description: Maximum likelihood estimates are obtained via an EM algorithm with either a first-order or a fully exponential Laplace approximation.

Depends: Matrix, numDeriv, methods, stats, utils

Imports: numDeriv, methods, stats, utils, MASS

Description: This package offers different possibilities to visualize
Packaged: Thu Mar 26 16:47:29 2009; moritz

Packaged: Mon May 25 18:03:14 2009; moritz

Title: Multivariate Gaussian Graphical Model Analysis
Author: Shailesh Tripathi, Frank Emmert-Streib
Description: Generate  constrained covariance matrix for a given graph to generate samples
from a Gaussian graphical model using different algorithms for the analysis
of complex network structure. We use three algorithms which are
Depends: R(>= 2.12.0), igraph, mvtnorm, qpgraph(>= 1.9.2)

Title: Influence Measures and Diagnostic Plots for Multivariate Linear
Description: This package computes regression deletion diagnostics for
multivariate linear models and provides some associated

Description: Computes regression deletion diagnostics for multivariate linear models and provides some associated
diagnostic plots.  The diagnostic measures include hat-values (leverages), generalized Cook's distance, and
generalized squared 'studentized' residuals.  Several types of plots to detect influential observations are

Suggests: knitr, rmarkdown, ggplot2, tibble, patchwork, rgl, dplyr

Title: Multivariate Meshes and Histograms in Arbitrary Dimensions
Description: Define, manipulate and plot meshes on simplices, spheres, balls, and rectangles for use in
multivariate statistics.  Directional and other multivariate histograms are provided.

Depends: R (>= 3.0), rcdd, rgl, geometry, abind
Description: Define, manipulate and plot meshes on simplices, spheres, balls, rectangles and tubes.
Directional and other multivariate histograms are provided.