est_mle

internal

Provides functions to estimate, predict and interpolate areal
data. For estimation and prediction we assume areal data is an average
of an underlying continuous spatial process as in Moraga et
al. (2017) <doi:10.1016/j.spasta.2017.04.006>, Johnson et al. (2020)
<doi:10.1186/s12942-020-00200-w>, and Wilson and Wakefield (2020)
<doi:10.1093/biostatistics/kxy041>. The interpolation methodology is
(mostly) based on Goodchild and Lam (1980, ISSN:01652273).

Lucas da Cunha Godoy

smile

Spatial Misalignment: Interpolation, Linkage, and Estimation

est_mle function

<dl><dt>y</dt>
<dd>response variable.</dd>
<dt>Vinv</dt>
<dd>inverse of \(V\)</dd></dl>

Arguments

MLEs for fixed V. — est_mle

<dl>

<dt>y</dt>
<dd>response variable.</dd>


<dt>Vinv</dt>
<dd>inverse of \(V\)</dd>

</dl>

est_mle: MLEs for fixed V.

Description

Usage

Arguments

Details