fitINLA2

<a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated"><img src="figures/lifecycle-deprecated.svg?package=SUMMER&version=2.0.0" alt="[Deprecated]"></a>
<code>fitINLA2()</code> was renamed to <code>smoothCluster()</code> to create a more
consistent API.

internal

Provides methods for spatial and spatio-temporal smoothing of demographic and health indicators using survey data, with particular focus on estimating and projecting under-five mortality rates, described in Mercer et al. (2015) <doi:10.1214/15-AOAS872>, Li et al. (2019) <doi:10.1371/journal.pone.0210645>, Wu et al. (DHS Spatial Analysis Reports No. 21, 2021), and Li et al. (2023) <doi:10.48550/arXiv.2007.05117>.

Zehang Li

SUMMER

Small-Area-Estimation Unit/Area Models and Methods for
Estimation in R

Zehang R Li

Bryan D Martin

Yuan Hsiao

Jessica Godwin

John Paige

Peter Gao

Jon Wakefield

Samuel J Clark

Geir-Arne Fuglstad

Andrea Riebler

fitINLA2 function

<a href='https://lifecycle.r-lib.org/articles/stages.html#deprecated'><img src='figures/lifecycle-deprecated.svg' alt='[Deprecated]' /></a>
<code>fitINLA2()</code> was renamed to <code>smoothCluster()</code> to create a more
consistent API.

Cluster-level space-time smoothing models for mortality rates — fitINLA2

Cluster-level space-time smoothing models for mortality rates

fitINLA2: Cluster-level space-time smoothing models for mortality rates

Description

Usage

Arguments