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
inlabru
View on CRAN: Click
here
Download and install inlabru package within the R console
Install from CRAN:
install.packages("inlabru")
Install from Github:
library("remotes")
install_github("cran/inlabru") Install by package version:
library("remotes")
install_version("inlabru", "2.15.0") Attach the package and use:
library("inlabru")
Maintained by
Finn Lindgren
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-10
Latest Update: 2025-07-09
Description:
Facilitates spatial and general latent Gaussian modeling using
integrated nested Laplace approximation via the INLA package ().
Additionally, extends the GAM-like model class to more general nonlinear predictor
expressions, and implements a log Gaussian Cox process likelihood for
modeling univariate and spatial point processes based on ecological survey data.
Model components are specified with general inputs and mapping methods to the
latent variables, and the predictors are specified via general R expressions,
with separate expressions for each observation likelihood model in
multi-likelihood models. A prediction method based on fast Monte Carlo sampling
allows posterior prediction of general expressions of the latent variables.
Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019)
.
How to cite:
Finn Lindgren (2017). inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions. R package version 2.15.0, https://cran.r-project.org/web/packages/inlabru. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-28 11:00), 2.1.1 (2017-11-10 19:16), 2.1.2 (2017-11-14 17:38), 2.1.3 (2018-02-11 15:26), 2.1.9 (2018-07-24 11:20), 2.1.12 (2019-06-24 11:10), 2.1.13 (2020-02-16 23:10), 2.3.0 (2021-03-16 09:50), 2.3.1 (2021-03-23 00:00), 2.4.0 (2021-12-19 02:50), 2.5.0 (2022-03-21 16:50), 2.5.2 (2022-03-30 18:20), 2.5.3 (2022-09-05 09:20), 2.6.0 (2022-10-24 11:55), 2.7.0 (2022-12-02 10:50), 2.8.0 (2023-06-20 16:10), 2.9.0 (2023-08-28 19:40), 2.10.0 (2023-10-29 06:10), 2.10.1 (2023-12-21 02:10), 2.11.1 (2024-07-02 01:30), 2.12.0 (2024-11-21 19:30), 2.13.0 (2025-07-09 23:20), 2.14.0 (2026-03-08 07:10), 2.14.1 (2026-05-01 07:10)
Other packages that cited inlabru R package
View inlabru citation profile
Other R packages that inlabru depends,
imports, suggests or enhances
Complete documentation for inlabru
Functions, R codes and Examples using
the inlabru R package
Some associated functions: Poisson1_1D . Poisson2_1D . Poisson3_1D . add_mappers . bincount . bm_list . bru . bru_call_options . bru_compute_linearisation . bru_convergence_plot . bru_env_get . bru_fill_missing . bru_get_mapper . bru_info . bru_int_polygon . bru_like_methods . bru_log . bru_log_bookmark . bru_log_message . bru_log_new . bru_log_offset . bru_log_reset . bru_make_stack . bru_mapper . bru_mapper_aggregate . bru_mapper_collect . bru_mapper_const . bru_mapper_factor . bru_mapper_fm_mesh_1d . bru_mapper_fm_mesh_2d . bru_mapper_generics . bru_mapper_harmonics . bru_mapper_index . bru_mapper_linear . bru_mapper_logsumexp . bru_mapper_marginal . bru_mapper_matrix . bru_mapper_mesh_B . bru_mapper_multi . bru_mapper_pipe . bru_mapper_scale . bru_mapper_shift . bru_mapper_summary . bru_mapper_taylor . bru_model . bru_options . bru_safe_inla . bru_safe_sp . bru_standardise_names . bru_summarise . bru_timings_plot . bru_transformation . bru_used . bru_used_update . bru_used_vars . code.components . comp_lin_eval . component . component_eval . component_list . cprod . deltaIC . devel.cvmeasure . eval_in_data_context . eval_spatial . evaluate_comp_lin . evaluate_comp_simple . evaluate_comp_simple_list_subsetting . evaluate_effect . evaluate_index . evaluate_inputs . evaluate_model . evaluate_predictor . expand_labels . extract_property . generate . gg.RasterLayer . gg.SpatRaster . gg.SpatialGridDataFrame . gg.SpatialLines . gg.SpatialPixels . gg.SpatialPixelsDataFrame . gg.SpatialPoints . gg.SpatialPolygons . gg.bru_prediction . gg.data.frame . gg.inla.mesh.1d . gg.inla.mesh . gg.matrix . gg . gg.sf . globe . glplot . gm . gmap . gorillas . gorillas_sf . iinla . index_eval . inla.stack.mjoin . inla_subset_eval . inlabru-deprecated . inlabru-package . input_eval . integration_weight_aggregation . ipoints . lgcp . like . local_testthat . materncov.bands . mexdolphin . mexdolphin_sf . mrsea . multiplot . parse_inclusion . pcmatern_B . pixels . plot.bru . plot.bru_prediction . plotsample . point2count . predict.bru . reexports . robins_subset . row_kron . sample.lgcp . seals . shrimp . sline . spatial.to.ppp . spde.posterior . spoly . summary.bru . summary.bru_options . summary.component . toygroups .
Some associated R codes: 0_inlabru_envir.R . bru.gof.R . bru.inference.R . bru.integration.R . bru.spatial.R . data.Poisson1_1D.R . data.Poisson2_1D.R . data.Poisson3_1D.R . data.gorillas.R . data.mexdolphin.R . data.mrsea.R . data.robins_subset.R . data.seals.R . data.shrimp.R . data.toygroups.R . deltaIC.R . deprecated.R . effect.R . environment.R . fmesher.R . ggplot.R . inla.R . inlabru-package.R . integration.R . local_testthat.R . mappers.R . mesh.R . model.R . nlinla.R . plotsample.R . rgl.R . sampling.R . spatstat.R . spde.R . stack.R . track_plotting.R . transformation.R . utils.R . Full inlabru package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
rts2
Supports modelling real-time case data to facilitate the real-time
surveillance of infectious disea ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Sam Watson (view profile)
nextGenShinyApps
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)
MARSS
The MARSS package provides maximum-likelihood parameter
estimation for constrained and unconstraine ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Elizabeth Eli Holmes (view profile)
LSDsensitivity
Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Marcelo C. Pereira (view profile)
SADEG
We analyzed the nucleotide composition of genes with a special emphasis on stability of DNA sequence ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Babak Khorsand (view profile)
29,218
R Packages
247,686
Dependencies
77,281
Author Associations
29,219
Publication Badges
