
spdep
 Referenced in 34 articles
[sw04578]
 weighted and unweighted SAR and CAR spatial regression models, semiparametric and Moran eigenvector spatial...

AWS
 Referenced in 46 articles
[sw04034]
 Polzehl and V. Spokoiny (2004) Spatially adaptive regression estimation: Propagationseparation approach, WIASPreprint...

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 mixedeffect 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 ... spatiallyvariable 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, MachadoMata decomposition for quantile regressions, spatial AR model, repeat sales models, conditionally parametric...

spmoran
 Referenced in 1 article
[sw19801]
 package for Moran’s eigenvectorbased spatial regression analysis. The objective of this study ... package for Moran’s eigenvectorbased 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...