strm: Spatio-Temporal Regression Modeling

Implements a spatio-temporal regression model based on Chi, G. and Zhu, J. (2019) Spatial Regression Models for the Social Sciences <isbn:9781544302072>. The approach here fits a spatial error model while incorporating a temporally lagged response variable and temporally lagged explanatory variables. This package builds on the errorsarlm() function from the spatialreg package.

Version: 0.1.2
Depends: R (≥ 4.0), spatialreg (≥ 1.1)
Imports: rlang (≥ 0.4), dplyr (≥ 1.0.5), tidyr (≥ 1.1.3), purrr (≥ 0.3.4), magrittr (≥ 2.0.1), rgdal (≥ 1.5.23), testthat (≥ 3.0.2), rmarkdown (≥ 2.6.6), knitr (≥ 1.33), stats, grDevices, methods, graphics, utils
Suggests: splm (≥ 1.4.11), spdep (≥ 1.1-7), rgeos (≥ 0.5-5), sf (≥ 0.9-8), Ecdat (≥ 0.3-9), tidycensus (≥ 0.11.4), ggplot2 (≥ 3.3.3), patchwork (≥ 1.1.1), gt (≥ 0.2.2), markdown
Published: 2021-05-05
Author: Maria Kamenetsky [aut, cre], Guangqing Chi [aut], Jun Zhu [aut]
Maintainer: Maria Kamenetsky <maria.kamenetsky at gmail.com>
BugReports: https://github.com/mkamenet3/strm/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11, GDAL (>= 1.11.4), GEOS (>= 3.4.0), PROJ (>= 6.3.1)
Materials: README NEWS
CRAN checks: strm results

Downloads:

Reference manual: strm.pdf
Vignettes: An Introduction to strm
Using strm with Census Data
Package source: strm_0.1.2.tar.gz
Windows binaries: r-devel: strm_0.1.2.zip, r-release: strm_0.1.2.zip, r-oldrel: strm_0.1.1.zip
macOS binaries: r-release: strm_0.1.2.tgz, r-oldrel: strm_0.1.1.tgz
Old sources: strm archive

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