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
In views: Spatial
CRAN checks: McSpatial results

Downloads:

Reference manual: McSpatial.pdf
Package source: McSpatial_2.0.tar.gz
OS X binary: McSpatial_2.0.tgz
Windows binary: McSpatial_2.0.zip
Old sources: McSpatial archive