Package: strm
Title: Spatio-Temporal Regression Modeling
Version: 0.1.1
Authors@R: c(
        person("Maria", "Kamenetsky", , "maria.kamenetsky@gmail.com", role = c("aut", "cre")),
        person("Guangqing", "Chi", ,"guangqingchi@gmail.com", role = "aut"),
        person("Jun", "Zhu", , "jun.zhu.e@gmail.com", role = "aut"))
Description: 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.
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)
VignetteBuilder: knitr
Encoding: UTF-8
License: GPL (>= 2)
Maintainer: Maria Kamenetsky <maria.kamenetsky@gmail.com>
BugReports: https://github.com/mkamenet3/strm/issues
LazyData: true
RoxygenNote: 7.1.0
SystemRequirements: C++11, GDAL (>= 1.11.4), GEOS (>= 3.4.0), PROJ (>=
        6.3.1)
NeedsCompilation: yes
Packaged: 2020-10-22 21:44:53 UTC; Maria
Author: Maria Kamenetsky [aut, cre],
  Guangqing Chi [aut],
  Jun Zhu [aut]
Repository: CRAN
Date/Publication: 2020-11-02 09:00:02 UTC
Built: R 3.6.2; ; 2020-11-03 15:22:21 UTC; unix
