{ "_id": "6a1dc23d1d7bb097a0a59078", "Package": "spatialreg", "Version": "1.4-4", "Date": "2026-05-21", "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\", ROR=\"04v53s997\")),\nperson(given = \"Gianfranco\", family = \"Piras\", role = c(\"aut\"), email = \"gpiras@mac.com\"),\nperson(\"Luc\", \"Anselin\", role = \"ctb\", comment = c(ORCID = \"0000-0003-1076-2220\")),\nperson(\"Andrew\", \"Bernat\", role = \"ctb\"),\nperson(\"Eric\", \"Blankmeyer\", role = \"ctb\"),\nperson(\"Yongwan\", \"Chun\", role = \"ctb\", comment = c(ORCID = \"0000-0002-4957-1379\")),\nperson(\"Virgilio\", \"Gómez-Rubio\", role = \"ctb\", comment = c(ORCID = \"0000-0002-4791-3072\")),\nperson(\"Daniel\", \"Griffith\", role = \"ctb\", comment = c(ORCID = \"0000-0001-5125-6450\")),\nperson(\"Martin\", \"Gubri\", role = \"ctb\", comment = c(ORCID = \"0000-0001-6744-6662\")),\nperson(\"Rein\", \"Halbersma\", role = \"ctb\"),\nperson(\"James\", \"LeSage\", role = \"ctb\"),\nperson(\"Angela\", \"Li\", role = \"ctb\"),\nperson(\"Hongfei\", \"Li\", role = \"ctb\"),\nperson(\"Jielai\", \"Ma\", role = \"ctb\"),\nperson(\"Abhirup\", \"Mallik\", role = c(\"ctb\", \"trl\")),\nperson(\"Giovanni\", \"Millo\", role = \"ctb\", comment = c(ORCID = \"0000-0002-0140-6681\")),\nperson(\"Kelley\", \"Pace\", role = \"ctb\"),\nperson(\"Josiah\", \"Parry\", role = \"ctb\", comment = c(ORCID = \"0000-0001-9910-865X\")),\nperson(\"Pedro\", \"Peres-Neto\", role = \"ctb\"),\nperson(\"Tobias\", \"Rüttenauer\", role = \"ctb\", comment = c(ORCID = \"0000-0001-5747-9735\")),\nperson(given = \"Mauricio\", family = \"Sarrias\", role = c(\"ctb\"), email = \"mauricio.sarrias@ucn.cl\"),\nperson(given = \"JuanTomas\", family = \"Sayago\", role = c(\"ctb\"), email = \"juantomas.sayago@gmail.com\"),\nperson(\"Michael\", \"Tiefelsdorf\", role = \"ctb\"))", "Description": "A collection of all the estimation functions for spatial\ncross-sectional models (on lattice/areal data using spatial\nweights matrices) contained up to now in 'spdep'. These model\nfitting functions include maximum likelihood methods for\ncross-sectional models proposed by 'Cliff' and 'Ord' (1973,\nISBN:0850860369) and (1981, ISBN:0850860814), fitting methods\ninitially described by 'Ord' (1975)\n. The models are further\ndescribed by 'Anselin' (1988) .\nSpatial two stage least squares and spatial general method of\nmoment models initially proposed by 'Kelejian' and 'Prucha'\n(1998) and (1999)\n are provided. Impact methods and\nMCMC fitting methods proposed by 'LeSage' and 'Pace' (2009)\n are implemented for the family of\ncross-sectional spatial regression models. Methods for fitting\nthe log determinant term in maximum likelihood and MCMC fitting\nare compared by 'Bivand et al.' (2013)\n, and model fitting methods by 'Bivand'\nand 'Piras' (2015) ; both of these\narticles include extensive lists of references. A recent review\nis provided by 'Bivand', 'Millo' and 'Piras' (2021)\n. 'spatialreg' >= 1.1-* corresponded\nto 'spdep' >= 1.1-1, in which the model fitting functions were\ndeprecated and passed through to 'spatialreg', but masked those\nin 'spatialreg'. From versions 1.2-*, the functions have been\nmade defunct in 'spdep'. From version 1.3-6, add\nAnselin-Kelejian (1997) test to `stsls` for residual spatial\nautocorrelation .", "License": "GPL-2", "URL": "https://github.com/r-spatial/spatialreg/,\nhttps://r-spatial.github.io/spatialreg/", "BugReports": "https://github.com/r-spatial/spatialreg/issues/", "VignetteBuilder": "knitr", "NeedsCompilation": "yes", "RoxygenNote": "6.1.1", "Config/pak/sysreqs": "libgdal-dev gdal-bin libgeos-dev libssl-dev\nlibproj-dev libudunits2-dev", "Repository": "https://r-spatial.r-universe.dev", "Date/Publication": "2026-05-20 09:42:37 UTC", "RemoteUrl": "https://github.com/r-spatial/spatialreg", "RemoteRef": "HEAD", "RemoteSha": "b455c8d53b39dcf7ea23af769ada67aed052863c", "Packaged": { "Date": "2026-06-01 17:12:17 UTC", "User": "root" }, "Author": "Roger Bivand [cre, aut] (ORCID:\n, ROR:\n),\nGianfranco Piras [aut],\nLuc Anselin [ctb] (ORCID: ),\nAndrew Bernat [ctb],\nEric Blankmeyer [ctb],\nYongwan Chun [ctb] (ORCID: ),\nVirgilio Gómez-Rubio [ctb] (ORCID:\n),\nDaniel Griffith [ctb] (ORCID: ),\nMartin Gubri [ctb] (ORCID: ),\nRein Halbersma [ctb],\nJames LeSage [ctb],\nAngela Li [ctb],\nHongfei Li [ctb],\nJielai Ma [ctb],\nAbhirup Mallik [ctb, trl],\nGiovanni Millo [ctb] (ORCID: ),\nKelley Pace [ctb],\nJosiah Parry [ctb] (ORCID: ),\nPedro Peres-Neto [ctb],\nTobias Rüttenauer [ctb] (ORCID:\n),\nMauricio Sarrias [ctb],\nJuanTomas Sayago [ctb],\nMichael Tiefelsdorf [ctb]", "Maintainer": "Roger Bivand ", "MD5sum": "d5ad8d2dd30ea75a15521c4379ab223d", "_user": "r-spatial", "_type": "src", "_file": "spatialreg_1.4-4.tar.gz", "_fileid": "7a329fe8f31bee13a77a6bd76aefccb264b8b70c56f8b551a6c30c2773529763", "_filesize": 1049420, "_sha256": "7a329fe8f31bee13a77a6bd76aefccb264b8b70c56f8b551a6c30c2773529763", "_created": "2026-06-01T17:12:17.000Z", "_published": "2026-06-01T17:32:45.723Z", "_distro": "noble", "_jobs": [ { "job": 78906905497, "time": 218, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7338104431" }, { "job": 78906905449, "time": 209, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7338100505" }, { "job": 78906905484, "time": 216, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7338103290" }, { "job": 78906905483, "time": 244, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7338113159" }, { "job": 78906905433, "time": 308, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7338427894" }, { "job": 78906905408, "time": 327, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "7338367013" }, { "job": 78906905432, "time": 120, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7338368440" }, { "job": 78906905453, "time": 389, "config": "macos-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7338381619" }, { "job": 78905820779, "time": 363, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7338024644" }, { "job": 78906905393, "time": 162, 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"Wald1.Sarlm" ], "_help": [ { "page": "aple", "title": "Approximate profile-likelihood estimator (APLE)", "topics": [ "aple" ] }, { "page": "aple.mc", "title": "Approximate profile-likelihood estimator (APLE) permutation test", "topics": [ "aple.mc" ] }, { "page": "aple.plot", "title": "Approximate profile-likelihood estimator (APLE) scatterplot", "topics": [ "aple.plot", "localAple" ] }, { "page": "sparse_mat", "title": "Spatial neighbour sparse representation", "topics": [ "as.spam.listw", "as_dgRMatrix_listw", "as_dsCMatrix_I", "as_dsCMatrix_IrW", "as_dsTMatrix_listw", "coerce,listw,CsparseMatrix-method", "coerce,listw,RsparseMatrix-method", "coerce,listw,symmetricMatrix-method", "Jacobian_W", "listw2U_Matrix", "listw2U_spam", "powerWeights" ] }, { "page": "do_ldet", "title": "Spatial regression model Jacobian computations", "topics": [ "can.be.simmed", "cheb_setup", "do_ldet", "eigen_pre_setup", "eigen_setup", "jacobianSetup", "LU_prepermutate_setup", "LU_setup", "Matrix_J_setup", "Matrix_setup", "mcdet_setup", "moments_setup", "SE_classic_setup", "SE_interp_setup", "SE_whichMin_setup", "spam_setup", "spam_update_setup" ] }, { "page": "GMerrorsar", "title": "Spatial simultaneous autoregressive error model estimation by GMM", "topics": [ "coef.Gmsar", "deviance.Gmsar", "fitted.Gmsar", "GMargminImage", "GMerrorsar", "Hausman.test.Gmsar", "print.Gmsar", "print.summary.Gmsar", "residuals.Gmsar", "summary.Gmsar" ] }, { "page": "eigenw", "title": "Spatial weights matrix eigenvalues", "topics": [ "eigenw", "griffith_sone", "subgraph_eigenw" ] }, { "page": "gstsls", "title": "Spatial simultaneous autoregressive SAC model estimation by GMM", "topics": [ "gstsls", "impacts.Gmsar" ] }, { "page": "impacts", "title": "Impacts in spatial lag models", "topics": [ "HPDinterval.LagImpact", "impacts", "intImpacts", "plot.LagImpact", "print.LagImpact", "print.summary.LagImpact", "summary.LagImpact" ] }, { "page": "invIrM", "title": "Compute SAR generating operator", "topics": [ "invIrM", "invIrW" ] }, { "page": "lagmess", "title": "Matrix exponential spatial lag model", "topics": [ "coef.Lagmess", "deviance.Lagmess", "fitted.Lagmess", "impacts.Lagmess", "lagmess", "logLik.Lagmess", "LR1.Lagmess", "print.Lagmess", "print.summary.Lagmess", "residuals.Lagmess", "summary.Lagmess" ] }, { "page": "lextrB", "title": "Find extreme eigenvalues of binary symmetric spatial weights", "topics": [ "lextrB", "lextrS", "lextrW", "l_max" ] }, { "page": "SLX", "title": "Spatial Durbin linear (SLX, spatially lagged X) model", "topics": [ "create_WX", "impacts.SlX", "lmSLX", "predict.SlX", "print.SlX", "print.summary.SlX", "print.summary.WXimpact", "print.WXimpact", "summary.SlX", "summary.WXimpact" ] }, { "page": "sarlm_tests", "title": "Likelihood ratio test", "topics": [ "anova.Sarlm", "bptest.Sarlm", "Hausman.test", "Hausman.test.Sarlm", "impacts.Sarlm", "logLik.Sarlm", "LR.Sarlm", "LR1.Sarlm", "Wald1.Sarlm" ] }, { "page": "MCMCsamp", "title": "MCMC sample from fitted spatial regression", "topics": [ "MCMCsamp", "MCMCsamp.Sarlm", "MCMCsamp.Spautolm" ] }, { "page": "ME", "title": "Moran eigenvector GLM filtering", "topics": [ "fitted.Me_res", "ME", "print.Me_res" ] }, { "page": "ML_models", "title": "Spatial simultaneous autoregressive model estimation by maximum likelihood", "topics": [ "coef.Sarlm", "deviance.Sarlm", "errorsarlm", "fitted.Sarlm", "lagsarlm", "nobs.Sarlm", "print.Sarlm", "print.summary.Sarlm", "residuals.Sarlm", "sacsarlm", "set_coef.Sarlm", "summary.Sarlm", "vcov.Sarlm" ] }, { "page": "predict.sarlm", "title": "Prediction for spatial simultaneous autoregressive linear model objects", "topics": [ "as.data.frame.Sarlm.pred", "predict.Sarlm", "print.Sarlm.pred" ] }, { "page": "set.mcOption", "title": "Options for parallel support", "topics": [ "get.ClusterOption", "get.coresOption", "get.mcOption", "set.ClusterOption", "set.coresOption", "set.mcOption" ] }, { "page": "set.spChkOption", "title": "Control checking of spatial object IDs", "topics": [ "get.VerboseOption", "get.ZeroPolicyOption", "set.VerboseOption", "set.ZeroPolicyOption" ] }, { "page": "similar.listw", "title": "Create symmetric similar weights lists", "topics": [ "similar.listw" ] }, { "page": "SpatialFiltering", "title": "Semi-parametric spatial filtering", "topics": [ "fitted.SfResult", "print.SfResult", "SpatialFiltering" ] }, { "page": "spautolm", "title": "Spatial conditional and simultaneous autoregression model estimation", "topics": [ "coef.Spautolm", "deviance.Spautolm", "fitted.Spautolm", "logLik.Spautolm", "LR1.Spautolm", "print.Spautolm", "print.summary.Spautolm", "residuals.Spautolm", "spautolm", "summary.Spautolm" ] }, { "page": "SET_MCMC", "title": "Bayesian MCMC spatial simultaneous autoregressive model estimation", "topics": [ "impacts.MCMC_sac_G", "impacts.MCMC_sar_G", "impacts.MCMC_sem_G", "spBreg_err", "spBreg_lag", "spBreg_sac" ] }, { "page": "stsls", "title": "Generalized spatial two stage least squares", "topics": [ "coef.Stsls", "deviance.Stsls", "impacts.Stsls", "print.Stsls", "print.summary.Stsls", "residuals.Stsls", "stsls", "summary.Stsls" ] }, { "page": "trW", "title": "Spatial weights matrix powers traces", "topics": [ "mom_calc", "mom_calc_int2", "trW" ] } ], "_readme": "https://github.com/r-spatial/spatialreg/raw/HEAD/README.md", "_rundeps": [ "backports", "boot", "checkmate", "class", "classInt", "coda", "codetools", "data.table", "DBI", "deldir", "e1071", "Formula", "generics", "insight", "KernSmooth", "lattice", "LearnBayes", "marginaleffects", "MASS", "Matrix", "multcomp", "mvtnorm", "nlme", "proxy", "Rcpp", "rlang", "s2", "sandwich", "sf", "sp", "spData", "spdep", "survival", "TH.data", "units", "wk", "zoo" ], "_sysdeps": [ { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" } ], 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