R (>= 2.12), geomapdata, RPMG, akima, splancs

R (>= 2.10), geomapdata, RPMG, akima, splancs

R (>= 2.12), geomapdata, RPMG, splancs, MBA

c(person(given="Jonathan M.", family="Lees",
role = c("aut", "cre"),email = "jonathan.lees@unc.edu"))

Set of routines for making map projections (forward and inverse), topographic maps, perspective plots, geological maps, geological map symbols, geological databases, interactive plotting and selection of focus regions.

Estimation and Fit Diagnostics for Generalized Exponential
Random Graph Models
Matthew J. Denny <mdenny@psu.edu>, James D. Wilson
<jdwilson1212@gmail.com>, Skyler Cranmer <cranmer.12@osu.edu >, Bruce A.
Desmarais <bdesmarais@psu.edu>, Shankar Bhamidi <bhamidi@email.unc.edu>
Estimation and diagnosis of the convergence of Generalized
Exponential Random Graph Models via Gibbs sampling or Metropolis
Hastings with exponential down weighting.
Rcpp, ggplot2, methods, stringr, igraph, plyr, parallel, coda,
vegan, scales, RcppParallel, slackr

Rcpp, ggplot2, methods, stringr, igraph, plyr, parallel, coda,
vegan, scales, RcppParallel, slackr, matrixcalc

Matthew J. Denny <mzd5530@psu.edu>, James D. Wilson <jdwilson1212@gmail.com>, Skyler Cranmer <cranmer.12@osu.edu >, Bruce A. Desmarais <bbd5087@psu.edu>, Shankar Bhamidi <bhamidi@email.unc.edu>
Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models (GERGM) via Gibbs sampling or Metropolis Hastings with exponential down weighting.

Estimation and diagnosis of the convergence of Generalized
Exponential Random Graph Models (GERGM) via Gibbs sampling or Metropolis
Hastings with exponential down weighting.

Rcpp, ggplot2, methods, stringr, igraph, plyr

Rcpp, ggplot2, methods, stringr, igraph, plyr, parallel, coda

Implements the gene-based segregation test(GESE) and the weighted GESE test for identifying genes with causal variants of large effects for family-based sequencing data. The methods are described in Qiao, D. Lange, C., Laird, N.M., Won, S., Hobbs, B., et al. 2016. Gene-based segregation method for identifying rare variants for family-based sequencing studies. More details can be found at <http://scholar.harvard.edu/dqiao/gese>.