surf: Survey-Based Gross Flows Estimation

Estimation of gross flows under non-response and complex sampling designs, using GutiƩrrez, Nascimento Silva and Trujillo (2014) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2014002/article/14113-eng.pdf> complex sampling extension of the non-response model developed by Stasny (1987) <https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/some-markov-chain-models-for-nonresponse-in-estimating-gross-labor-force-flows.pdf>. It estimates the gross flows process under non-response by modelling the observable cross-tabulation counts as a two-stage Markov Chain process, combining (1) the unobservable Markov Chain describing the transition of states; and (2) the non-response process, given by the initial response probabilities and the response/non-response transition probabilities.

Version: 1.0.0
Depends: R (≥ 3.5.0), stats, Matrix
Imports: numDeriv, survey, MASS, abind
Suggests: testthat, sampling, rmarkdown, knitr
Published: 2021-04-06
Author: Guilherme Jacob
Maintainer: Guilherme Jacob <guilhermejacob91 at gmail.com>
BugReports: https://github.com/guilhermejacob/surf
License: GPL-3
NeedsCompilation: no
Citation: surf citation info
Materials: README
CRAN checks: surf results

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Reference manual: surf.pdf
Package source: surf_1.0.0.tar.gz
Windows binaries: r-devel: surf_1.0.0.zip, r-release: surf_1.0.0.zip, r-oldrel: surf_1.0.0.zip
macOS binaries: r-release: surf_1.0.0.tgz, r-oldrel: surf_1.0.0.tgz

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