sregsurvey: Semiparametric Model-Assisted Estimation in Finite Populations

It is a framework to fit semiparametric regression estimators for the total parameter of a finite population when the interest variable is asymmetric distributed. The main references for this package are Sarndal C.E., Swensson B., and Wretman J. (2003,ISBN: 978-0-387-40620-6, "Model Assisted Survey Sampling." Springer-Verlag) Cardozo C.A, Paula G.A. and Vanegas L.H. (2022) "Generalized log-gamma additive partial linear mdoels with P-spline smoothing", Statistical Papers. Cardozo C.A and Alonso-Malaver C.E. (2022). "Semi-parametric model assisted estimation in finite populations." In preparation.

Version:	0.1.3
Imports:	gamlss, gamlss.dist, TeachingSampling, methods, dplyr, caret, magrittr
Suggests:	survey
Published:	2023-04-11
DOI:	10.32614/CRAN.package.sregsurvey
Author:	Carlos Alberto Cardozo Delgado [aut, cre, cph], Carlos E. Alonso-Malaver [aut]
Maintainer:	Carlos Alberto Cardozo Delgado <cardozorpackages at gmail.com>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	sregsurvey results

Documentation:

Reference manual:

sregsurvey.pdf

Downloads:

Package source:	sregsurvey_0.1.3.tar.gz
Windows binaries:	r-devel: sregsurvey_0.1.3.zip, r-release: sregsurvey_0.1.3.zip, r-oldrel: sregsurvey_0.1.3.zip
macOS binaries:	r-release (arm64): sregsurvey_0.1.3.tgz, r-oldrel (arm64): sregsurvey_0.1.3.tgz, r-release (x86_64): sregsurvey_0.1.3.tgz, r-oldrel (x86_64): sregsurvey_0.1.3.tgz
Old sources:	sregsurvey archive

Linking:

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