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, subcenter identification, misclassification probit, 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: 1.1.1
Depends: akima, lattice, locfit, quantreg, SparseM
Suggests: car, classInt, maptools, mlogit, RColorBrewer, spatstat, spdep
Published: 2012-04-03
Author: Daniel McMillen
Maintainer: Daniel McMillen <mcmillen at illinois.edu>
License: GPL
In views: Spatial
CRAN checks: McSpatial results

Downloads:

Package source: McSpatial_1.1.1.tar.gz
MacOS X binary: McSpatial_1.1.1.tgz
Windows binary: McSpatial_1.1.1.zip
Reference manual: McSpatial.pdf
Old sources: McSpatial archive