ksresamp: Spatial data analysis based on kernel smoothing and...

Description Details Author(s) References Examples

Description

This package provides a multi-dimensional kernel smoother and some tools for hypothesis testing based on resampling techniques. Although this package is designed with diffusion tensor imaging data as a "model data", it may be used to detect significantly different regions for other types of multi-dimensional, large scale spatial data. Since this package is designed for analyzing large data (about 2M data points) by resampling method, computational efficiency has very high priority. The current implementation depends on the implicit parallelization provided by foreach and doMC packages.

Details

Package: iSPREADR
Type: Package
Version: 0.7
Date: 2011-05-06
License: GPL (>=2.0)
LazyLoad: yes

Please see the help files of individual functions.

Author(s)

Xing Qiu Maintainer: Xing Qiu <xqiu@bst.rochester.edu>

References

Zhu, Hu, Qiu radiology paper, maybe another paper in statistical journal.

Examples

1
# See examples of each function's help file

ygu427/iSPREADR documentation built on May 20, 2019, 4:37 p.m.