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: