inlabru

1-Dimensional Homogeneous Poisson example.

1-Dimensional NonHomogeneous Poisson example.

1-Dimensional NonHomogeneous Poisson example.

Add component input/latent mappers

Construct A-matrix

1D LGCP bin count simulation and comparison with data

Convenient model fitting using (iterated) INLA

Additional bru options

Compute inlabru model linearisation information

Get access to the internal environment

Fill in missing values in Spatial grids

Methods for bru_info objects

Integration points for polygons inside an inla.mesh

inlabru log message methods

Build an inla data stack from linearisation information

Methods for bru_mapper objects

Implementation methods for mapper objects

Create an inlabru model object from model components

Create or update an options objects

Load INLA safely for examples and tests

Standardise inla hyperparameter names

Convert components to R code

Latent model component construction

Methods for inlabru component lists

Cross product of integration points

Summarise DIC and WAIC from lgcp objects.

Variance and correlations measures for prediction components

Compute all A-matrices

Evaluate a component effect

Compute all index values

Evaluate or sample from a posterior result given a model and locations

Evaluate component effects or expressions

Expand labels

Extract a summary property from all results of an inla result

Create a coordinate reference system object

Show expanded CRS arguments

Handling CRS/WKT

PROJ6 detection

Chack if two CRS objects are identical

Handle transformation of various inla objects according to coordinate reference systems of sp::CRS or INLA::inla.CRS class.

Extract CRS information

Generate samples from fitted bru models

ggplot2 geomes for inlabru related objects

Geom for RasterLayer objects

Geom for SpatialGridDataFrame objects

Geom for SpatialLines objects

Geom for SpatialPixels objects

Geom for SpatialPixelsDataFrame objects

Geom for SpatialPoints objects

Geom for SpatialPolygons objects

Geom for data.frame

Geom for inla.mesh objects

Geom for inla.mesh.1d objects

Geom for matrix

Geom for predictions

Plot a globe using rgl

Render Spatial* and inla.mesh objects using RGL

Visualize SpatialLines using RGL

Visualize SpatialPoints using RGL

Visualize SpatialPoints using RGL

ggplot geom for spatial data

Plot a map using extend of a spatial object

Gorilla nesting sites

Iterated INLA

Gorilla data import

Mexdolphin data import

MRSea data import

Seal pup edata import

Shrimp data import

Obtain indices

Join stacks intended to be run with different likelihoods

inlabru

Deprecated functions in inlabru

Obtain covariate values

Weighted summation (integration) of data frame subsets

Integration points for polygons inside an inla.mesh

Aggregate integration weights onto mesh nodes

Construct the intersection mesh of a mesh and a polygon

Generate integration points

Query if a point is inside the mesh boundary

Log Gaussian Cox process (LGCP) inference using INLA

Likelihood construction for usage with bru()

Unit test helpers

Basic robust integration weights for mesh/polygon intersections

Matern correlation or covariance function approximate credible bands.

Pan-tropical spotted dolphins in the Gulf of Mexico

Marine renewables strategic environmental assessment

Multiple ggplots on a page.

Parse inclusion of component labels in a predictor expression

Generate SpatialPixels covering an inla.mesh

Plot method for posterior marginals estimated by bru

Plot prediction using ggplot2

Create a plot sample.

Convert a plot sample of points into one of counts.

Prediction from fitted bru model

Prediction from fitted inla model

Refine an inla.mesh object

Row-wise Kronecker products

Sample from an inhomogeneous Poisson process

Seal pups

Blue and red shrimp in the Western Mediterranean Sea

Convert data frame to SpatialLinesDataFrame

Convert SpatialPoints and boundary polygon to spatstat ppp object

Posteriors of SPDE hyper parameters and Matern correlation or covariance function.

Split lines at mesh edges

Convert a data.frame of boundary points into a SpatialPolgonsDataFrame

Coordinate transformation for spatial objects

Summary for an inlabru fit

Print inlabru options

Summarise components

Simulated 1D animal group locations and group sizes

Split triangles of a mesh into four triangles

Vertices

Extract vertex locations from an inla.mesh

Internal WKT handling