Package: strm
Title: Spatio-Temporal Regression Modeling
Version: 0.1.3
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 (>= 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
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
License: GPL (>= 2)
Maintainer: Maria Kamenetsky <maria.kamenetsky@gmail.com>
BugReports: https://github.com/mkamenet3/strm/issues
LazyData: true
RoxygenNote: 7.1.2
SystemRequirements: C++11, GDAL (>= 1.11.4), GEOS (>= 3.4.0), PROJ (>=
        6.3.1)
NeedsCompilation: yes
Packaged: 2022-01-14 05:10:30 UTC; Maria
Author: Maria Kamenetsky [aut, cre],
  Guangqing Chi [aut],
  Jun Zhu [aut]
Repository: CRAN
Date/Publication: 2022-01-19 08:50:02 UTC
Built: R 4.0.5; ; 2022-04-21 13:45:08 UTC; windows
