spmoran

Fast Spatial and Spatio-Temporal Regression using Moran Eigenvectors

CRAN Package

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:10.1007/s10109-015-0213-7). The implemented models include linear regression with residual spatial dependence, spatially/spatio-temporally varying coefficient models (Murakami et al., 2017, 2024; doi:10.1016/j.spasta.2016.12.001, doi:10.48550/arXiv.2410.07229), spatially filtered unconditional quantile regression (Murakami and Seya, 2019 doi:10.1002/env.2556), Gaussian and non-Gaussian spatial mixed models through compositionally-warping (Murakami et al. 2021, doi:10.1016/j.spasta.2021.100520).


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Insights

Last 30 days

This package has been downloaded 666 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 11 times.

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0 downloadsFeb 9, 2025
0 downloadsFeb 10, 2025
0 downloadsFeb 11, 2025
0 downloadsFeb 12, 2025
15 downloadsFeb 13, 2025
40 downloadsFeb 14, 2025
3 downloadsFeb 15, 2025
41 downloadsFeb 16, 2025
8 downloadsFeb 17, 2025
38 downloadsFeb 18, 2025
10 downloadsFeb 19, 2025
103 downloadsFeb 20, 2025
25 downloadsFeb 21, 2025
11 downloadsFeb 22, 2025
11 downloadsFeb 23, 2025
18 downloadsFeb 24, 2025
19 downloadsFeb 25, 2025
37 downloadsFeb 26, 2025
65 downloadsFeb 27, 2025
6 downloadsFeb 28, 2025
5 downloadsMar 1, 2025
14 downloadsMar 2, 2025
8 downloadsMar 3, 2025
10 downloadsMar 4, 2025
71 downloadsMar 5, 2025
16 downloadsMar 6, 2025
12 downloadsMar 7, 2025
1 downloadsMar 8, 2025
6 downloadsMar 9, 2025
6 downloadsMar 10, 2025
23 downloadsMar 11, 2025
27 downloadsMar 12, 2025
6 downloadsMar 13, 2025
11 downloadsMar 14, 2025
0 downloadsMar 15, 2025
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103

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 7,379 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Sep 26, 2024 with 113 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


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Dependencies

  • Imports10 packages
  • Suggests1 package