Title: Minimal Free Resolutions of Graph Edge Ideals
Description: Algebraic Geometry: Minimal Free Resolutions of the Edge

Note: Distribution A: Approved for Public Release. Singular and/or
Macaulay 2 algebraic geometry packages are suggested.

SystemRequirements: Singular (http://www.singular.uni-kl.de) for exact
calculation of the MFR for graphs without splitting edges (only

Packaged: 2012-05-09 10:23:18 UTC; dmarchette

Description: Estimates probit, logit, Poisson, and negative binomial regression models, returning their marginal effects as an output.

Title: Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs
Description: Estimates probit, logit, Poisson, negative binomial, and beta regression models, returning their marginal effects, odds ratios, or incidence rate ratios as an output.
Depends: stats, sandwich, lmtest, MASS, betareg

Authors@R: c( person( "Alan", "Fernihough", role = c("aut", "cre"),
person( "Arne", "Henningsen", role = "ctb",
Description: Estimates probit, logit, Poisson, negative binomial,
and beta regression models, returning their marginal effects, odds ratios,
Greene (2008, pp. 780-7) provides a textbook introduction to this topic.

Title: Simulating, Estimating and Diagnosing MGARCH (BEKK and mGJR)
person("Vehbi Sinan", "Tunalioglu", email="vst@vsthost.com", role=c("cre", "aut")))
Description: Procedures to simulate, estimate and diagnose MGARCH
processes of BEKK and multivariate GJR (bivariate asymmetric GARCH
Maintainer: Vehbi Sinan Tunalioglu <vst@vsthost.com>

Description: Multiscale Graph Correlation (MGC) is a framework developed by Shen et al. (2017) <arXiv:1609.05148> that extends global correlation procedures to be multiscale; consequently, MGC tests typically require far fewer samples than existing methods for a wide variety of dependence structures and dimensionalities, while maintaining computational efficiency. Moreover, MGC provides a simple and elegant multiscale characterization of the potentially complex latent geometry underlying the relationship.
Suggests: testthat, ggplot2, reshape2, knitr, rmarkdown