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spind (version 2.2.1)

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

2.2.1

License

GPL-3

Issues

5

Pull Requests

0

Stars

3

Forks

0

Maintainer

Sam Levin

Last Published

October 30th, 2020

Functions in spind (2.2.1)

acfft

Spatial autocorrelation diagnostics
mmiGEE

Multi-model inference for GEE models
WRM

Wavelet-revised models (WRMs)
carlinadata

Carlina data set
mmiWMRR

Multi-model inference for wavelet multiresolution regression
aic.calc

Akaike Information Criterion with correction for sample size
covar.plot

Plot wavelet variance/covariance
GEE

GEE (Generalized Estimating Equations)
adjusted.actuals

Adjusted actual values
hook

Hook data set
spind

spind: Spatial Methods and Indices
step.spind

Stepwise model selection for GEEs and WRMs
upscale

Upscaling of smooth components
wavecovar

Wavelet covariance analysis
wavevar

Wavelet variance analysis
th.indep

Spatial threshold-independent accuracy measures
th.dep

Spatial threshold-dependent accuracy measures
rvi.plot

Relative Variable Importance
scaleWMRR

Scaling by wavelet multiresolution regression (WMRR)
qic.calc

Quasi-Information Criterion for Generalized Estimating Equations
musdata

Mus musculus data set