Maintainer: Garrett M. Dancik <garrett.dancik@gmail.com>
univariate and multi-dimensional outputs with diagnostic plots.
Contact the maintainer for a package version that implements

Description: Maximum likelihood Gaussian process modeling for univariate and multi-dimensional outputs with diagnostic plots following Santner et al (2003) <doi:10.1007/978-1-4757-3799-8>. Contact the maintainer for a package version that includes sensitivity analysis.

Contact the maintainer for a package version that includes

Title: Multilevel Exponential-Family Random Graph Models
person("Jonathan", "Stewart", email = "jonathan.stewart@rice.edu", role = c("cre", "aut")),
person("Michael", "Schweinberger", email = "michael.schweinberger@rice.edu", role = c("ctb")))
Description: Estimates exponential-family random graph models for multilevel network data, assuming the multilevel structure is observed. The scope, at present, covers multilevel models where the set of nodes is nested within known blocks. The estimation method uses Monte-Carlo maximum likelihood estimation (MCMLE) methods to estimate a variety of canonical or curved exponential family models for binary random graphs. MCMLE methods for curved exponential-family random graph models can be found in Hunter and Handcock (2006) <DOI: 10.1198/106186006X133069>. The package supports parallel computing, and provides methods for assessing goodness-of-fit of models and visualization of networks.
Imports: parallel, Matrix, stringr, stats, GGally, ggplot2, cowplot,

Imports: parallel (>= 3.6.0), Matrix (>= 1.2.17), stringr, stats,
GGally, ggplot2, cowplot, reshape2, plyr, methods, graphics,

reshape2, plyr, methods, graphics, sna (>= 2.4)

reshape2, plyr, methods, graphics, lpSolve, sna (>= 2.4)

person("Jonathan", "Stewart", email = "jrstewart@fsu.edu", role = c("cre", "aut")),

Title: Maximum likelihood unit root test
Author: A. I. McLeod, Hao Yu and Ying Zhang
Depends: R (>= 2.0.0), urca, fBasics, fGarch
Description: Provides functions for unit root testing using MLE method