• CARBayes

  • Referenced in 10 articles [sw15288]
  • Spatial Generalised Linear Mixed Models for Areal Unit Data. Implements a class of univariate ... spatial generalised linear mixed models for areal unit data, with inference in a Bayesian setting...
  • ngspatial

  • Referenced in 2 articles [sw17802]
  • Spatial Generalized Linear Mixed Models for Areal Data. Provides tools for analyzing spatial data, especially ... Gaussian areal data. The current version supports the sparse spatial generalized linear mixed model...
  • arealDB

  • Referenced in 1 article [sw30222]
  • Harmonise and integrate heterogeneous areal data with the R package arealDB. Areal data ... surveys. Many research questions require that areal data are integrated from multiple heterogeneous sources. Inconsistent ... dedicated tool that assists in organising areal data still is lacking. Here, we introduce ... helps to harmonise and integrate heterogeneous areal data and associated geometries into a consistent database...
  • CARBayesST

  • Referenced in 2 articles [sw15512]
  • Temporal Generalised Linear Mixed Models for Areal Unit Data. Implements a class of spatio-temporal ... generalised linear mixed models for areal unit data, with inference in a Bayesian setting using...
  • copCAR

  • Referenced in 1 article [sw19299]
  • copCAR Regression Model for Discrete Areal Data. Provides tools for fitting the copCAR (Hughes ... dx.doi.org/10.1080/10618600.2014.948178”>doi:10.1080/10618600.2014.948178> regression model for discrete areal data. Three types of estimation are supported (continuous...
  • womblR

  • Referenced in 1 article [sw30863]
  • womblR: Spatiotemporal Boundary Detection Model for Areal Unit Data. Implements a spatiotemporal boundary detection ... model with a dissimilarity metric for areal data with inference in a Bayesian setting using...
  • ALLUVSIM

  • Referenced in 6 articles [sw13299]
  • conditioning to sparse well data (1–5 wells) and areal and vertical trends. The initial ... into the model to roughly honor well data through a rejection and updating method...
  • diseasemapping

  • Referenced in 1 article [sw24252]
  • Spatial Variation in Disease Risk for Areal Data. Formatting of population and case data, calculation...
  • smerc

  • Referenced in 1 article [sw30059]
  • methods for analyzing the counts of areal data, with a focus on the detection...
  • CARET

  • Referenced in 8 articles [sw22554]
  • experimental data using various combinations of overlays (e.g., fMRI activation maps, cortical parcellations, areal boundaries...
  • spBFA

  • Referenced in 1 article [sw31476]
  • prior, the probit stick-breaking process. Areal spatial data is modeled using a conditional autoregressive...
  • areal

  • Referenced in 1 article [sw37405]
  • Weighted Interpolation. A pipeable, transparent implementation of areal weighted interpolation with support for interpolating multiple ... estimation that fits into both modern data management (e.g. tidyverse) and spatial data...
  • micromap

  • Referenced in 4 articles [sw24214]
  • micromaps, which display statistical summaries associated with areal units, or polygons. Linked micromaps provide ... input of an sp SpatialPolygonsDataFrame into a data frame that can be linked with...
  • fuse

  • Referenced in 2 articles [sw29167]
  • input rainfall and potential evapotranspiration time series (areal averages over the river catchment area ... parameter ranges (fusesma.ranges and fuserouting.ranges) and three data objects: fuse_hydrological_timeseries (sample input dataset...
  • R

  • Referenced in 8836 articles [sw00771]
  • R is a language and environment for statistical...
  • Surveillance

  • Referenced in 28 articles [sw00932]
  • R package surveillance: Temporal and Spatio-Temporal Modeling...
  • CODA

  • Referenced in 299 articles [sw04290]
  • R package coda: Output analysis and diagnostics for...
  • nlme

  • Referenced in 128 articles [sw04481]
  • R package nlme: Linear and Nonlinear Mixed Effects...