• spdep

  • Referenced in 34 articles [sw04578]
  • weighted and unweighted SAR and CAR spatial regression models, semi-parametric and Moran eigenvector spatial...
  • AWS

  • Referenced in 46 articles [sw04034]
  • Polzehl and V. Spokoiny (2004) Spatially adaptive regression estimation: Propagation-separation approach, WIAS-Preprint...
  • gcmr

  • Referenced in 27 articles [sw07433]
  • provides a natural extension of traditional linear regression models with normal correlated errors. Any kind ... data, longitudinal studies, survival analysis and spatial regression...
  • rms

  • Referenced in 90 articles [sw04532]
  • with binary or ordinal logistic regression, Cox regression, accelerated failure time models, ordinary linear models ... serially or spatially correlated observations, generalized linear models, and quantile regression...
  • GeoDa

  • Referenced in 17 articles [sw08282]
  • also performs basic linear regression. As for spatial models, both the spatial lag model...
  • BayesX

  • Referenced in 89 articles [sw06772]
  • free software for estimating structured additive regression models (). In addition, functions that allow ... manipulate map objects that are required in spatial analyses performed with BayesX...
  • BayesLogit

  • Referenced in 44 articles [sw09312]
  • logistic regression, negative binomial regression, nonlinear mixed-effect models, and spatial models for count data...
  • Spatial Statistics

  • Referenced in 8 articles [sw06026]
  • conditional spatial autoregressions (CAR), and mixed regressive spatially autoregressive (MRSA) models. In addition, it contains...
  • spatcounts

  • Referenced in 6 articles [sw13743]
  • nested model selection for spatial count regression models with ... application to health insurance. We consider spatial regression models for count data. We examine ... possible response distribution. We add random spatial effects for modeling spatial dependency and develop...
  • reccv

  • Referenced in 35 articles [sw26388]
  • Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study. Wavelet analysis has been found ... spatially-variable objects. We discuss in detail wavelet methods in nonparametric regression, where the data...
  • MNM

  • Referenced in 45 articles [sw06075]
  • identity score, spatial sign score and spatial rank score. The methods include ... sample problems, shape estimation and testing, linear regression and principal components...
  • laGP

  • Referenced in 21 articles [sw14043]
  • Regression. Performs approximate GP regression for large computer experiments and spatial datasets. The approximation...
  • spNNGP

  • Referenced in 3 articles [sw31449]
  • package spNNGP: Spatial Regression Models for Large Datasets using Nearest Neighbor Gaussian Processes. Fits univariate ... Bayesian spatial regression models for large datasets using Nearest Neighbor Gaussian Processes (NNGP) detailed...
  • Expectreg

  • Referenced in 15 articles [sw14660]
  • Expectile and quantile regression of models with nonlinear effects e.g. spatial, random, ridge using least...
  • spikeSlabGAM

  • Referenced in 8 articles [sw07415]
  • choice, and regularized estimation for (spatial) generalized additive mixed regression models via SSVS with spike...
  • McSpatial

  • Referenced in 2 articles [sw16522]
  • conditionally parametric regression, fourier and cubic spline functions, GMM and linearized spatial logit and probit ... functions, Machado-Mata decomposition for quantile regressions, spatial AR model, repeat sales models, conditionally parametric...
  • spmoran

  • Referenced in 1 article [sw19801]
  • package for Moran’s eigenvector-based spatial regression analysis. The objective of this study ... package for Moran’s eigenvector-based spatial regression analysis. spmoran estimates regression models ... suitable to estimate and infer regression coefficients with/without spatial variation. spmoran implements these models...
  • fdaPDE

  • Referenced in 5 articles [sw21040]
  • Statistical Analysis of Functional and Spatial Data, Based on Regression with Partial Differential Regularizations ... implementation of regression models with partial differential regularizations, making use of the Finite Element Method ... domain. A priori information about the spatial structure of the phenomenon under study...
  • SpatialVS

  • Referenced in 1 article [sw31495]
  • Selection. Perform variable selection for the spatial Poisson regression model under the adaptive elastic ... input. We use a spatial Poisson regression model to link the spatial counts and covariates...
  • AdaptFit

  • Referenced in 3 articles [sw10486]
  • SemiPar package fits semiparametric regression models with spatially adaptive penalized splines...