freight

A set of data on airfreight breakage. Data are given on 10 air shipments, each carrying
1000 ampules of some substance. For each shipment, the number of ampules found broken upon arrival, and the number of times the shipments were transferred from one aircraft to another, are recorded.

datasets

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 restricted likelihood. 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.

Franois Rousset

spaMM

Mixed-Effect Models, with or without Spatial Random Effects

François Rousset

Jean-Baptiste Ferdy

Alexandre Courtiol

freight function

The data frame includes 10 observations on the following variables:<dl>
 <dt>broken</dt>
<dd>number of ampules found broken upon arrival.</dd> <dt>transfers</dt>
<dd>number of times the shipments were transferred from one aircraft to another.</dd> <dt>id</dt>
<dd>Shipment identifier.</dd> 
</dl>

Format

Freight dataset — freight

The data frame includes 10 observations on the following variables:<dl>
 <dt>broken</dt>
<dd>number of ampules found broken upon arrival.</dd>

 <dt>transfers</dt>
<dd>number of times the shipments were transferred from one aircraft to another.</dd>

 <dt>id</dt>
<dd>Shipment identifier.</dd>

 
</dl>

freight: Freight dataset

Description

Usage

Arguments

Format

References

Examples