Imports: SSBtools (>= 1.3.4), RegSDC (>= 0.7.0), stats, methods

Title: Inference, Goodness-of-Fit and Forecast for Univariate Gaussian
Author: Bouchra R. Nasri and Bruno N. Remillard
Description: Inference, goodness-of-fit test, and prediction densities and intervals for univariate Gaussian Hidden Markov Models (HMM). The goodness-of-fit is based on a Cramer-von Mises statistic and uses parametric bootstrap to estimate the p-value. The description of the methodology is taken from Chapter 10.2 of Remillard (2013) <doi:10.1201/b14285>.
Packaged: 2019-03-06 18:12:51 UTC; Utilisateur

Title: Geometrically Designed Spline Regression
Author: Dimitrina S. Dimitrova <D.Dimitrova@city.ac.uk>,
Description: Geometrically Designed Spline ('GeDS') Regression is a non-parametric geometrically
motivated method for fitting variable knots spline predictor models in one or two independent
variables, in the context of generalized (non-)linear models. 'GeDS' estimates the number and
position of the knots and the order of the spline, assuming the response variable has a
distribution from the exponential family. A description of the method can be found in
Depends: R (>= 3.0.1), Rcpp (>= 0.12.1), splines, stats, utils, Matrix,
Packaged: 2017-11-08 08:18:41 UTC; Andrea Lattuada

Packaged: 2017-12-19 10:51:03 UTC; Andrea Lattuada

Title: Spatial Graph-Theoretic Genetic Gravity Modelling
Authors@R: c(person(family="Evans", given="Jeffrey S.", email = "jeffrey_evans@tnc.org",
role = c("aut", "cre")), person(family="Murphy", given="Melanie", role = "aut") )
Description: Implementation of spatial graph-theoretic genetic gravity models.
The model framework is applicable for other types of spatial flow questions.
Includes functions for constructing spatial graphs, sampling and summarizing
associated raster variables and building unconstrained and singly constrained
Imports: nlme, sp, spdep, spatialEco, raster, rgeos
Maintainer: Jeffrey S. Evans <jeffrey_evans@tnc.org>

Packaged: 2017-07-31 21:15:30 UTC; jeffrey_evans

Imports: nlme, sp, spdep, spatialEco, raster, velox, rgeos
Packaged: 2019-10-02 23:58:48 UTC; jeffrey_evans