R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
GeoModels
View on CRAN: Click
here
Download and install GeoModels package within the R console
Install from CRAN:
install.packages("GeoModels")
Install from Github:
library("remotes")
install_github("cran/GeoModels") Install by package version:
library("remotes")
install_version("GeoModels", "2.2.2") Attach the package and use:
library("GeoModels")
Maintained by
Moreno Bevilacqua
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-25
Latest Update: 2025-07-30
Description:
Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. See the URL for the papers associated with this package, as for instance, Bevilacqua and Gaetan (2015) , Bevilacqua et al. (2016) , Vallejos et al. (2020) , Bevilacqua et. al (2020) , Bevilacqua et. al (2021) , Bevilacqua et al. (2022) , Morales-Navarrete et al. (2023) , and a large class of examples and tutorials.
How to cite:
Moreno Bevilacqua (2022). GeoModels: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis. R package version 2.2.2, https://cran.r-project.org/web/packages/GeoModels. Accessed 04 Jun. 2026.
Previous versions and publish date:
1.0.0 (2022-05-25 09:40), 1.0.1 (2022-06-05 16:10), 1.0.2 (2022-09-04 16:30), 1.0.3 (2022-10-23 12:27), 1.0.4 (2022-11-30 09:10), 1.0.5 (2022-12-05 09:32), 1.0.6 (2023-01-07 14:50), 1.0.7 (2023-03-14 14:50), 1.0.8 (2023-05-30 16:40), 1.0.9 (2023-08-07 23:00), 1.1.0 (2023-08-16 11:02), 1.1.1 (2023-08-29 10:30), 1.1.2 (2023-09-08 22:40), 1.1.3 (2023-09-23 14:30), 1.1.4 (2023-10-21 15:00), 1.1.5 (2023-11-14 10:43), 1.1.6 (2024-02-06 18:40), 1.1.7 (2024-02-19 08:50), 1.1.8 (2024-03-13 11:20), 1.1.9 (2024-03-21 09:30), 2.0.0 (2024-04-10 00:20), 2.0.1 (2024-04-11 13:40), 2.0.2 (2024-05-16 18:41), 2.0.3 (2024-06-07 14:20), 2.0.4 (2024-07-09 16:50), 2.0.5 (2024-09-28 02:00), 2.0.6 (2024-10-07 14:10), 2.0.7 (2024-10-25 23:30), 2.0.8 (2024-11-10 19:40), 2.0.9 (2025-01-07 18:50), 2.1.0 (2025-01-14 19:40), 2.1.1 (2025-04-13 12:50), 2.1.2 (2025-04-25 16:50), 2.1.3 (2025-05-02 18:00), 2.1.4 (2025-05-09 10:10), 2.1.5 (2025-05-22 17:30), 2.1.6 (2025-06-25 14:30), 2.1.7 (2025-07-18 19:20), 2.1.8 (2025-07-31 01:10), 2.1.9 (2025-09-01 00:10), 2.2.0 (2025-09-11 16:00), 2.2.1 (2025-11-24 18:10), 2.2.2 (2026-01-17 23:40)
Other packages that cited GeoModels R package
View GeoModels citation profile
Other R packages that GeoModels depends,
imports, suggests or enhances
Complete documentation for GeoModels
Functions, R codes and Examples using
the GeoModels R package
Some associated functions: Anomalies . CheckBiv . CheckDistance . CheckST . CheckSph . CkCorrModel . CkInput . CkLikelihood . CkModel . CkType . CkVarType . CompIndLik2 . CompLik . CompLik2 . CorrParam . CorrelationPar . GeoAniso . GeoCV . GeoCorrFct . GeoCorrFct_Cop . GeoCovDisplay . GeoCovariogram . GeoCovmatrix . GeoFit . GeoFit2 . GeoKrig . GeoKrigloc . GeoNA . GeoNeighIndex . GeoNeighborhood . GeoNosymindices . GeoOutlier . GeoPit . GeoQQ . GeoResiduals . GeoScatterplot . GeoSim . GeoSimCopula . GeoSimapprox . GeoTests . GeoVarestbootstrap . GeoVariogram . GeoWls . Lik . MatDecomp . Matrixfun . NuisParam . Prscores . StartParam . WlsStart . austemp . plot.GeoVariogram . winds.coords . winds .
Some associated R codes: GeoAniso.R . GeoCV.R . GeoCompositeLik2.R . GeoCorrFct_Cop.R . GeoCovDisplay.R . GeoFit2.R . GeoIndCompositeLik2.R . GeoKrigloc.R . GeoNA.R . GeoNeighIndex.R . GeoNeighborhood.R . GeoNosymindices.R . GeoPit.R . GeoQQ.R . GeoScatterplot.R . GeoSimCopula.R . GeoSpoutlier.R . Geovarestbootstrap.R . Full GeoModels package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
AMPLE
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management.
...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Finlay Scott (view profile)
murphydiagram
Data and code for the paper by Ehm, Gneiting, Jordan and
Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Fabian Krueger (view profile)
phers
Use phenotype risk scores based on linked clinical and genetic data
to study Mendelian disease and ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jake Hughey (view profile)
shinybusy
Add indicators (spinner, progress bar, gif) in your 'shiny'
applications to show the user that the ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Victor Perrier (view profile)
golem
An opinionated framework for building a production-ready
'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Colin Fay (view profile)
crplyr
In order to facilitate analysis of datasets hosted on the Crunch
data platform ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Greg Freedman Ellis (view profile)
27,268
R Packages
233,548
Dependencies
72,590
Author Associations
27,205
Publication Badges
