Package: geostan 0.6.2

geostan: Bayesian Spatial Analysis

For spatial data analysis; provides exploratory spatial analysis tools, spatial regression models, disease mapping models, model diagnostics, and special methods for inference with small area survey data (e.g., the America Community Survey (ACS)) and censored population health surveillance data. Models are pre-specified using the Stan programming language, a platform for Bayesian inference using Markov chain Monte Carlo (MCMC). References: Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>; Donegan (2021) <doi:10.31219/osf.io/3ey65>; Donegan (2022) <doi:10.21105/joss.04716>; Donegan, Chun and Hughes (2020) <doi:10.1016/j.spasta.2020.100450>; Donegan, Chun and Griffith (2021) <doi:10.3390/ijerph18136856>; Morris et al. (2019) <doi:10.1016/j.sste.2019.100301>.

Authors:Connor Donegan [aut, cre], Mitzi Morris [ctb], Amy Tims [ctb]

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Bug tracker:https://github.com/connordonegan/geostan/issues

On CRAN:

bayesianbayesian-inferencebayesian-statisticsepidemiologymodelingpublic-healthrspatialspatialstan

39 exports 61 stars 3.76 score 70 dependencies 30 scripts 950 downloads

Last updated 29 days agofrom:c330dfcf72. Checks:OK: 1 WARNING: 8. Indexed: yes.

Exports:apleauto_gaussianedgeseigen_gridexpected_mcgamma2get_shpgrhslglisamake_EVmcme_diagmoran_plotn_effn_nbsnormalposterior_predictprep_car_dataprep_car_data2prep_icar_dataprep_me_dataprep_sar_dataprep_sar_data2row_standardizese_logshape2matsim_sarsp_diagspatialstan_carstan_esfstan_glmstan_icarstan_sarstudent_tuniformwaic

Dependencies:abindbackportsBHbootcallrcheckmateclassclassIntclicolorspaceDBIdeldirdescdistributionale1071fansifarvergenericsggplot2gluegridExtragtableinlineisobandKernSmoothlabelinglatticelifecycleloomagrittrMASSMatrixmatrixStatsmgcvmunsellnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxproxypsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolss2scalessfsignsspspDataspdepStanHeaderstensorAtibbletruncnormunitsutf8vctrsviridisLitewithrwk