Package: spatialreg
Version: 1.1-5
Date: 2019-11-29
Title: Spatial Regression Analysis
Encoding: UTF-8
Authors@R: c(person("Roger", "Bivand", role = c("cre", "aut"), email = "Roger.Bivand@nhh.no", comment=c(ORCID="0000-0003-2392-6140")),
             person(given = "Gianfranco", family = "Piras", role = c("aut"), email = "gpiras@mac.com"),
             person("Luc", "Anselin", role = "ctb"),
             person("Andrew", "Bernat", role = "ctb"),
             person("Eric", "Blankmeyer", role = "ctb"),
             person("Yongwan", "Chun", role = "ctb"),
             person("Virgilio", "Gómez-Rubio", role = "ctb"),
             person("Daniel", "Griffith", role = "ctb"),
             person("Martin", "Gubri", role = "ctb"),
             person("Rein", "Halbersma", role = "ctb"),
             person("James", "LeSage", role = "ctb"),
             person("Angela", "Li", role = "ctb"),
             person("Jielai", "Ma", role = "ctb"),
             person("Abhirup", "Mallik", role = c("ctb", "trl")),
             person("Giovanni", "Millo", role = "ctb"),
             person("Kelley", "Pace", role = "ctb"),
             person("Pedro", "Peres-Neto", role = "ctb"),
             person(given = "Mauricio", family = "Sarrias", role = c("ctb"), email = "mauricio.sarrias@ucn.cl"),
             person(given = "JuanTomas", family = "Sayago", role = c("ctb"), email = "juantomas.sayago@gmail.com"),
             person("Michael", "Tiefelsdorf", role = "ctb"))
Depends: R (>= 3.3.0), spData, Matrix
Imports: spdep, expm, coda, methods, MASS, boot, splines, LearnBayes,
        nlme, gmodels
Suggests: parallel, RSpectra, sf, tmap, foreign, spam, knitr, lmtest,
        sandwich
Description: A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to now in 'spdep', 'sphet' and 'spse'. These model fitting functions include maximum likelihood methods for cross-sectional models proposed by 'Cliff' and 'Ord' (1973, ISBN:0850860369) and (1981, ISBN:0850860814), fitting methods initially described by 'Ord' (1975) <doi:10.1080/01621459.1975.10480272>. The models are further described by 'Anselin' (1988) <doi:10.1007/978-94-015-7799-1>. Spatial two stage least squares and spatial general method of moment models initially proposed by 'Kelejian' and 'Prucha' (1998) <doi:10.1023/A:1007707430416> and (1999) <doi:10.1111/1468-2354.00027> are provided. Impact methods and MCMC fitting methods proposed by 'LeSage' and 'Pace' (2009) <doi:10.1201/9781420064254> are implemented for the family of cross-sectional spatial regression models. Methods for fitting the log determinant term in maximum likelihood and MCMC fitting are compared by 'Bivand et al.' (2013) <doi:10.1111/gean.12008>, and model fitting methods by 'Bivand' and 'Piras' (2015) <doi:10.18637/jss.v063.i18>; both of these articles include extensive lists of references. 'spatialreg' >= 1.1-* correspond to 'spdep' >= 1.1-1, in which the model fitting functions are deprecated and pass through to 'spatialreg', but will mask those in 'spatialreg'. From versions 1.2-*, the functions will be made defunct in 'spdep'.
License: GPL-2
URL: https://github.com/r-spatial/spatialreg/,
        https://r-spatial.github.io/spatialreg/
BugReports: https://github.com/r-spatial/spatialreg/issues/
VignetteBuilder: knitr
NeedsCompilation: yes
RoxygenNote: 6.1.1
Packaged: 2019-11-30 11:51:49 UTC; rsb
Author: Roger Bivand [cre, aut] (<https://orcid.org/0000-0003-2392-6140>),
  Gianfranco Piras [aut],
  Luc Anselin [ctb],
  Andrew Bernat [ctb],
  Eric Blankmeyer [ctb],
  Yongwan Chun [ctb],
  Virgilio Gómez-Rubio [ctb],
  Daniel Griffith [ctb],
  Martin Gubri [ctb],
  Rein Halbersma [ctb],
  James LeSage [ctb],
  Angela Li [ctb],
  Jielai Ma [ctb],
  Abhirup Mallik [ctb, trl],
  Giovanni Millo [ctb],
  Kelley Pace [ctb],
  Pedro Peres-Neto [ctb],
  Mauricio Sarrias [ctb],
  JuanTomas Sayago [ctb],
  Michael Tiefelsdorf [ctb]
Maintainer: Roger Bivand <Roger.Bivand@nhh.no>
Repository: CRAN
Date/Publication: 2019-12-01 23:00:09 UTC
Built: R 3.6.1; x86_64-pc-linux-gnu; 'Mon, 09 Dec 2019 11:38:31 +0100'; unix
