McSpatial: Nonparametric spatial data analysis

Locally weighted regression, semiparametric and conditionally parametric regression, fourier and cubic spline functions, GMM and linearized spatial logit and probit, k-density functions and counterfactuals, nonparametric quantile regression and conditional density functions, Machado-Mata decomposition for quantile regressions, spatial AR model, repeat sales models, conditionally parametric logit and probit

Version: 2.0
Depends: lattice, locfit, maptools, quantreg, RANN, SparseM
Suggests: car, classInt, mlogit, RColorBrewer, spatstat, spdep
Published: 2013-05-26
Author: Daniel McMillen
Maintainer: Daniel McMillen <mcmillen at illinois.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
Citation: NA
Materials: NA
In views: Spatial
CRAN checks: McSpatial results

Downloads:

Reference manual: McSpatial.pdf
Package source: McSpatial_2.0.tar.gz
Windows binaries: r-devel: McSpatial_2.0.zip, r-release: McSpatial_2.0.zip, r-oldrel: McSpatial_2.0.zip
OS X Snow Leopard binaries: r-release: McSpatial_2.0.tgz, r-oldrel: McSpatial_2.0.tgz
OS X Mavericks binaries: r-release: McSpatial_2.0.tgz
Old sources: McSpatial archive