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>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
In views: Spatial
CRAN checks: McSpatial results


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


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