spmoran

cranv0.3.3

Fast Spatial and Spatio-Temporal Regression using Moran Eigenvectors. A collection of functions for estimating spatial and spatio-temporal regression models. Moran eigenvectors are used as spatial basis functions to efficiently approximate spatially dependent Gaussian processes (i.e., random effects eigenvector spatial filtering; see Murakami and Griffith 2015 <doi: 1

License GPL (>= 2)0 versions1 maintainers13 deps118 weekly dl
dmuraka/spmoran
36
/ 100
Health
use with caution

[email protected] low health (36/100) — consider alternatives

  • Low health score (36/100)
Health breakdown0 – 100
0/25
maintenance
3/20
popularity
25/25
security
6/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

Dependencies (13)
sffieldsveganMatrixdoParallelforeachggplot2spdeprARPACKRColorBrewersplinesFNNmethods
API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/cran/spmoran

First published · 2024-12-05 08:52:38

Last updated · 2024-12-05T07:30:02+00:00