Random Fields on Metric Graphs

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Documentation for package ‘MetricGraph’ version 1.3.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

MetricGraph-package	Gaussian processes on metric graphs
augment	Augment data with information from a 'graph_lme' object
augment.graph_lme	Augment data with information from a 'graph_lme' object
bru_get_mapper.inla_metric_graph_spde	Metric graph 'inlabru' mapper
bru_mapper.inla_metric_graph_spde	Metric graph 'inlabru' mapper
drop_na	A version of 'tidyr::drop_na()' function for datasets on metric graphs
drop_na.metric_graph_data	A version of 'tidyr::drop_na()' function for datasets on metric graphs
exp_covariance	Exponential covariance function
filter	A version of 'dplyr::filter()' function for datasets on metric graphs
filter.metric_graph_data	A version of 'dplyr::filter()' function for datasets on metric graphs
gg_df	Data frame for metric_graph_spde_result objects to be used in 'ggplot2'
gg_df.metric_graph_spde_result	Data frame for metric_graph_spde_result objects to be used in 'ggplot2'
glance	Glance at a 'graph_lme' object
glance.graph_lme	Glance at a 'graph_lme' object
graph_bru_process_data	Prepare data frames or data lists to be used with 'inlabru' in metric graphs
graph_components	Connected components of metric graph
graph_data_spde	Data extraction for 'spde' models
graph_lgcp	Simulation of log-Gaussian Cox processes driven by Whittle-Matérn fields on metric graphs
graph_lme	Metric graph linear mixed effects models
graph_spde	'INLA' implementation of Whittle-Matérn fields for metric graphs
graph_spde_basis	Observation/prediction matrices for 'SPDE' models
graph_spde_make_A	Deprecated - Observation/prediction matrices for 'SPDE' models
graph_starting_values	Starting values for random field models on metric graphs
ibm_jacobian.bru_mapper_inla_metric_graph_spde	Metric graph 'inlabru' mapper
ibm_n.bru_mapper_inla_metric_graph_spde	Metric graph 'inlabru' mapper
ibm_values.bru_mapper_inla_metric_graph_spde	Metric graph 'inlabru' mapper
logo_lines	Create lines for package name
make_Q_euler	Space-time precision operator Euler discretization
make_Q_spacetime	Space-time precision operator discretization
MetricGraph	Gaussian processes on metric graphs
metric_graph	Metric graph
mutate	A version of 'dplyr::mutate()' function for datasets on metric graphs
mutate.metric_graph_data	A version of 'dplyr::mutate()' function for datasets on metric graphs
pems	Traffic speed data from San Jose, California
plot.graph_bru_pred	Plot of predicted values with 'inlabru'
posterior_crossvalidation	Leave-one-out crossvalidation for 'graph_lme' models assuming observations at the vertices of metric graphs
predict.graph_lme	Prediction for a mixed effects regression model on a metric graph
predict.inla_metric_graph_spde	Predict method for 'inlabru' fits on Metric Graphs
predict.rspde_metric_graph	Predict method for 'inlabru' fits on Metric Graphs for 'rSPDE' models
sample_spde	Samples a Whittle-Matérn field on a metric graph
select	A version of 'dplyr::select()' function for datasets on metric graphs
select.metric_graph_data	A version of 'dplyr::select()' function for datasets on metric graphs
simulate.graph_lme	Simulation of models on metric graphs
simulate_spacetime	space-time simulation based on implicit Euler discretization in time
spde_covariance	Covariance function for Whittle-Matérn fields
spde_metric_graph_result	Metric graph SPDE result extraction from 'INLA' estimation results
spde_precision	Precision matrix for Whittle-Matérn fields
summarise	A version of 'dplyr::summarise()' function for datasets on metric graphs
summarise.metric_graph_data	A version of 'dplyr::summarise()' function for datasets on metric graphs
summary.graph_lme	Summary Method for 'graph_lme' Objects
summary.metric_graph	Summary Method for 'metric_graph' Objects
summary.metric_graph_spde_result	Summary for posteriors of field parameters for an 'inla_rspde' model from a 'rspde.result' object