rw.new

New random walk 1 and 2 models for m-year to period random effects

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

rw.new function

<dl><dt>cmd</dt>
<dd>list of model components</dd>
<dt>theta</dt>
<dd>log precision</dd></dl>

Arguments

New random walk 1 and 2 models for m-year to period random effects — rw.new

<dl>

<dt>cmd</dt>
<dd>list of model components</dd>


<dt>theta</dt>
<dd>log precision</dd>

</dl>

New random walk 1 and 2 models for m-year to period random effects

rw.new: New random walk 1 and 2 models for m-year to period random effects

Description

Usage

Arguments