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spind (version 2.1.3)

Spatial Methods and Indices

Description

Functions for spatial methods based on generalized estimating equations (GEE) and wavelet-revised methods (WRM), functions for scaling by wavelet multiresolution regression (WMRR), conducting multi-model inference, and stepwise model selection. Further, contains functions for spatially corrected model accuracy measures.

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Version

Install

install.packages('spind')

Monthly Downloads

304

Version

2.1.3

License

GPL-3

Issues

5

Pull Requests

0

Stars

3

Forks

0

Maintainer

Sam Levin

Last Published

April 8th, 2018

Functions in spind (2.1.3)

carlinadata

Carlina data set
covar.plot

Plot wavelet variance/covariance
spind

spind: Spatial Methods and Indices
mmiGEE

Multi-model inference for GEE models
mmiWMRR

Multi-model inference for wavelet multiresolution regression
predict.WRM

predict.WRM
qic.calc

Quasi-Information Criterion for Generalized Estimating Equations
step.spind

Stepwise model selection for GEEs and WRMs
hook

Hook data set
upscale

Upscaling of smooth components
wavecovar

Wavelet covariance analysis
GEE

GEE (Generalized Estimating Equations)
summary.WRM

Summarize the output from WRM
WRM

Wavelet-revised models (WRMs)
summary.GEE

Summarize the output from GEE
th.indep

Spatial threshold-independent accuracy measures
th.dep

Spatial threshold-dependent accuracy measures
acfft

Spatial autocorrelation diagnostics
adjusted.actuals

Adjusted actual values
aic.calc

Akaike Information Criterion with correction for sample size
rvi.plot

Relative Variable Importance
scaleWMRR

Scaling by wavelet multiresolution regression (WMRR)
musdata

Mus musculus data set
predict.GEE

predict.GEE
wavevar

Wavelet variance analysis