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: 0.1.1
Depends: R (≥ 3.5), spatialreg (≥ 1.1-5)
Imports: rlang (≥ 0.4.6), dplyr (≥ 1.0.0), tidyr (≥ 1.0.0), purrr (≥ 0.3.4), magrittr (≥ 1.5), rgdal (≥ 1.5.10), testthat (≥ 2.3.2), rmarkdown (≥ 2.3), stats, grDevices, methods, graphics, utils, knitr
Suggests: splm (≥ 1.4.11), spdep (≥ 1.1-3), rgeos (≥ 0.5-3), sf (≥ 0.9-4), Ecdat (≥ 0.3-7), tidycensus (≥ 0.9.9), ggplot2 (≥ 3.3.2), patchwork (≥ 1.0.1), broom (≥ 0.7.0)
Published: 2020-11-02
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: Intro to strm
strm and census data
Package source: strm_0.1.1.tar.gz
Windows binaries: r-devel: strm_0.1.1.zip, r-release: strm_0.1.1.zip, r-oldrel: strm_0.1.1.zip
macOS binaries: r-release: strm_0.1.1.tgz, r-oldrel: strm_0.1.1.tgz

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