McSpatial-package: Nonparametric spatial data analysis
In McSpatial: Nonparametric spatial data analysis
Description
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
Details
Package: McSpatial
Type: Package
Version: 2.0
Date: 2013-5-20
License: GPL
LazyLoad: yes
Author(s)
Daniel McMillen
Maintainer: Daniel McMillen <mcmillen@illinois.edu>
McSpatial documentation built on May 2, 2019, 9:32 a.m.
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Description
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
Details
| Package: | McSpatial |
| Type: | Package |
| Version: | 2.0 |
| Date: | 2013-5-20 |
| License: | GPL |
| LazyLoad: | yes |
Author(s)
Daniel McMillen
Maintainer: Daniel McMillen <mcmillen@illinois.edu>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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