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
spaMM
Mixed-Effect Models, with or without Spatial Random Effects
View on CRAN: Click
here
Download and install spaMM package within the R console
Install from CRAN:
install.packages("spaMM")
Install from Github:
library("remotes")
install_github("cran/spaMM") Install by package version:
library("remotes")
install_version("spaMM", "4.6.1") Attach the package and use:
library("spaMM")
Maintained by
François Rousset
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-12-15
Latest Update: 2025-06-27
Description:
Inference based on models with or without spatially-correlated random effects, multivariate responses, or non-Gaussian random effects (e.g., Beta). Variation in residual variance (heteroscedasticity) can itself be represented by a mixed-effect model. Both classical geostatistical models (Rousset and Ferdy 2014 <doi:10.1111/ecog.00566>), and Markov random field models on irregular grids (as considered in the 'INLA' package, <https://www.r-inla.org>), can be fitted, with distinct computational procedures exploiting the sparse matrix representations for the latter case and other autoregressive models. Laplace approximations are used for likelihood or restrictedlikelihood. Penalized quasi-likelihood and other variants discussed in the h-likelihood literature (Lee and Nelder 2001 <doi:10.1093/biomet/88.4.987>) are also implemented.
How to cite:
François Rousset (2013). spaMM: Mixed-Effect Models, with or without Spatial Random Effects. R package version 4.6.1, https://cran.r-project.org/web/packages/spaMM. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:06), 1.0 (2013-12-15 11:24), 1.1 (2014-01-17 06:22), 1.2.0 (2014-06-25 07:14), 1.3.0 (2014-09-10 00:24), 1.4.0 (2014-11-08 01:59), 1.4.1 (2014-11-09 00:46), 1.5.1 (2015-02-23 00:33), 1.6.2 (2015-11-01 18:00), 1.7.1 (2016-01-21 17:57), 1.7.2 (2016-01-26 00:11), 1.8.0 (2016-04-08 11:14), 1.9.0.1 (2016-07-10 12:00), 1.9.0 (2016-05-24 09:58), 1.9.16 (2016-07-22 01:18), 1.10.0 (2016-09-05 04:17), 2.0.0 (2017-04-07 00:05), 2.1.0 (2017-05-26 00:14), 2.1.6 (2017-07-07 07:44), 2.2.0 (2017-10-03 22:00), 2.3.0 (2018-01-18 18:53), 2.4.0 (2018-04-05 19:16), 2.4.8 (2018-04-14 12:33), 2.4.35 (2018-05-19 23:02), 2.5.0 (2018-09-28 14:00), 2.5.11 (2018-11-19 23:40), 2.6.0 (2019-01-10 15:40), 2.6.1 (2019-01-14 09:40), 2.7.1 (2019-04-14 06:32), 3.0.0 (2019-06-21 10:00), 3.1.2 (2020-02-12 17:00), 3.1.27 (2020-03-10 23:20), 3.2.0 (2020-04-20 08:40), 3.3.0 (2020-05-30 07:10), 3.4.1 (2020-08-11 21:20), 3.5.0 (2020-10-03 07:50), 3.6.0 (2021-01-15 07:10), 3.7.2 (2021-02-26 16:00), 3.7.34 (2021-04-07 11:40), 3.8.0 (2021-06-02 06:40), 3.8.9 (2021-06-28 07:00), 3.8.23 (2021-08-05 15:20), 3.9.0 (2021-09-13 22:20), 3.9.13 (2021-10-02 22:40), 3.9.25 (2021-11-09 10:00), 3.10.0 (2022-02-07 04:30), 3.11.3 (2022-03-23 23:40), 3.11.14 (2022-04-10 01:30), 3.12.0 (2022-06-19 04:20), 3.13.0 (2022-09-05 20:10), 4.0.0 (2022-10-20 20:40), 4.1.0 (2022-11-18 15:40), 4.1.20 (2022-12-12 13:50), 4.2.1 (2023-03-03 16:20), 4.3.0 (2023-05-22 12:20), 4.3.20 (2023-07-06 13:30), 4.4.0 (2023-08-30 01:00), 4.4.16 (2023-12-20 14:50), 4.5.0 (2024-06-10 00:20), 4.6.1 (2025-06-27 14:30)
Other packages that cited spaMM R package
View spaMM citation profile
Other R packages that spaMM depends,
imports, suggests or enhances
Complete documentation for spaMM
Functions, R codes and Examples using
the spaMM R package
Some associated functions: AIC . ARp . COMPoisson . CauchyCorr . DoF . GLM.fit . Gryphon . HLCor . HLfit . IMRF . Leuca . Loaloa . MSFDR . MaternCorr . MaternIMRF . PLS-internals . R2 . WinterWheat . ZAXlist . adjlg . algebra . anova.HLfit . arabidopsis . as_LMLT . autoregressive . beta_resp . betabin . blackcap . clinics . composite_ranef . confint . control.HLfit . convergence . corMatern . corrFamily-definition . corrFamily-design . corrFamily . corrHLfit . corrMatrix . corr_family . covStruct . diallel . diallel_fixed . div_info . dofuture . dopar . drop1.HLfit . eval_replicate . extractors . extreme_eig . fitme . fitmv . fix_predVar . fixed.LRT . fixed . freight . get_RLRSim_args . get_cPredVar . get_fittedPars . get_inits_from_fit . get_matrix . good-practice . hatvalues.HLfit . how . inits . inverse.Gamma . is_separated . lev2bool . libraries . llm.fit . make.scaled.dist . mapMM . mat_sqrt . method . multinomial . mv . negbin . negbin1 . numInfo . options . pedigree . phi-resid.model . plot.HL . plot_effect . poisson . post-fit . predVar . predict . random-effects . rankinfo . register_cF . resid.model . residVar . residuals.HLfit . salamander . scotlip . seaMask . seeds . setNbThreads . simulate . spaMM-S3 . spaMM-conventions . spaMM-internal . spaMM.filled.contour . spaMM . spaMM_boot . spaMMcolors . stripHLfit . summary.HL . update . vcov . verbose . wafers . welding . wrap_parallel .
Some associated R codes: Beta.R . COMPoisson.R . CanonizeRanPars.R . GLM.fit.R . HLCor.R . HLCor_body.R . HLFactorList.R . HLfit.R . HLfit_Internals.R . HLfit_b_internals.R . HLfit_body.R . HLfit_body_NOT_loopenv.R . HLfit_body_augZXy.R . HLfit_loop.R . HLframes.R . IRLS_internals.R . LLM.R . LMLTslots.R . LR.R . LevM_internals.R . LevM_v_h.R . LevM_v_h_spprec.R . LevenbergMstep.R . MakeCovEst.R . Matern_family.R . RcppExports.R . SEM.R . X.GCA.R . ZAL_class.R . antisym.R . augZXy_obj.R . betabin.R . betaresp.R . bloc_lambda.R . calc_LRT.R . calc_logdisp_cov.R . combinepar.R . confint.R . constructors_IMRFs.R . corMatern.R . corrFamilies.R . corrFamily.R . corrHLfit-internals.R . corrHLfit.R . corrHLfit_body.R . corrMM.LRT.R . corrPars.R . correlationFns.R . cov_new_fix.R . determine_spprec.R . dispGammaGLM.R . dofuture.R . drop1.R . expandSlash.R . extractors.R . fam2LLfam.R . fit_as_ZX.R . fit_as_sparsePrecision.R . fitme.R . fitme_body.R . fitme_fitmv_internals.R . fitmecorrHLfit_body_internals.R . fitmv_body.R . fitmv_internals.R . generateName.R . geo_info.R . get_cPredVar.R . get_inits_by_glm.R . glm.nodev.fit.R . glm.reformat.R . hatvalues.R . inverse.Gamma.R . llm.fit.R . locoptim.R . makeLowerUpper.R . mapMM.R . multiFRK.R . multinomial.R . negbin1.R . negbin2.R . newPLS.R . numInfo.R . plot.HLfit.R . plot_effects.R . poisson.R . postfit_internals.R . precision_internals.R . predict.R . predict_marg.R . predict_mv.R . predictor.R . preprocess.R . preprocess_MV.R . preprocess_internals.R . profile.R . sXaug_EigenDense_QRP_Chol_scaled.R . sXaug_Matrix_CHM_Hess.R . sXaug_Matrix_QRP_CHM.R . sXaug_sparsePrecisions.R . safe_opt.R . save.R . separator.R . simulate.HL.R . spaMM.data.R . spaMM_boot.R . spaMM_error.R . sparseX.R . step_HLfit.R . summary.HL.R . terms.R . update.HL.R . utils.R . Full spaMM package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
SelvarMix
Regularization for Variable Selection in Model-Based Clustering
and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Mohammed Sedki (view profile)
leafgl
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Tim Appelhans (view profile)
clinUtils
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import,
the reporting and analysis of clinical data.
Example ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Laure Cougnaud (view profile)
RCytoGPS
Using Cytogenetics Data in R
Defines classes and methods to process text-based
cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Kevin R. Coombes (view profile)
nextGenShinyApps
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
ncodeR
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Cody L Marquart (view profile)
28,332
R Packages
239,283
Dependencies
75,113
Author Associations
28,333
Publication Badges
