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: | 0.1.3 |
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: | 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: | 2022-01-19 |
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 |
Reference manual: | strm.pdf |
Vignettes: |
An Introduction to strm Using strm with Census Data |
Package source: | strm_0.1.3.tar.gz |
Windows binaries: | r-devel: strm_0.1.3.zip, r-release: strm_0.1.3.zip, r-oldrel: strm_0.1.3.zip |
macOS binaries: | r-release (arm64): strm_0.1.3.tgz, r-release (x86_64): strm_0.1.3.tgz, r-oldrel: strm_0.1.3.tgz |
Old sources: | strm archive |
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