Description: An integrated set of tools to calculate and analyze Blau statuses quantifying social distance between individuals belonging to (covert) organizations. Relational (network) data can be incorporated for additional analyses. This project is supported by Defense Threat Reduction Agency (DTRA) Grant HDTRA-10-1-0043.

Imports: gWidgetsRGtk2, RGtk2, cairoDevice, plot3D, plot3Drgl, rgl,
network, sna, ergm, statnet.common, haven, foreign

Imports: RGtk2, cairoDevice, plot3D, plot3Drgl, rgl, network, sna,

Title: Calculate and Analyze Blau Statuses for Measuring Social
Imports: digest, gWidgets2, gWidgets2tcltk, plot3D, plot3Drgl, rgl,
Description: Calculate and analyze Blau statuses for quantifying social distance between individuals belonging to organizations. Relational (network) data can be incorporated for additional analyses. This project is supported by Defense Threat Reduction Agency (DTRA) Grant HDTRA-10-1-0043.

Title: Joint Analysis of Experiments with Mixtures and Random Effects
Author: Marcelo Angelo Cirillo <macufla@gmail.com>
Maintainer: Paulo Cesar Ossani <ossanipc@hotmail.com>
Description: Package to perform a joint analysis of experiments with mixtures and random effects, assuming a process variable, represented by a covariate, Kalirajan K P (1990) <doi:10.1080/757582835>.

Description: Performs a joint analysis of experiments with mixtures and random effects, taking on a process variable represented by a covariable.

Title: Estimation of Large Block Covariance Matrices
Description: Computation of large covariance matrices having a block structure up to a permutation of their columns and rows from a small number of
samples with respect to the dimension of the matrix. For further details we refer the reader to the paper Perrot-Dockes and Lévy-Leduc (2018), <arXiv:1806.10093>.
Packaged: 2018-06-27 14:00:28 UTC; levyleduc

Author: M. Perrot-Dock\`es, C. Lévy-Leduc
Description: Computation of large covariance matrices having a block structure up to a permutation of their columns and rows
from a small number of samples with respect to the dimension of the matrix.
The method is described in the paper Perrot-Dockès et al. (2019) <arXiv:1806.10093>.
Imports: Matrix, stats, Rdpack, BBmisc, dplyr, tibble, magrittr, rlang
Packaged: 2019-04-13 18:32:17 UTC; perrot-dockes