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sregsurvey  

Semiparametric Model-Assisted Estimation in Finite Populations
View on CRAN: Click here


Download and install sregsurvey package within the R console
Install from CRAN:
install.packages("sregsurvey")

Install from Github:
library("remotes")
install_github("cran/sregsurvey")

Install by package version:
library("remotes")
install_version("sregsurvey", "0.1.3")



Attach the package and use:
library("sregsurvey")
Maintained by
Carlos Alberto Cardozo Delgado
[Scholar Profile | Author Map]
First Published: 2021-09-15
Latest Update: 2023-04-11
Description:
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.
How to cite:
Carlos Alberto Cardozo Delgado (2021). sregsurvey: Semiparametric Model-Assisted Estimation in Finite Populations. R package version 0.1.3, https://cran.r-project.org/web/packages/sregsurvey. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2021-09-15 10:00), 0.1.1 (2021-12-03 23:50), 0.1.2 (2022-01-09 17:50)
Other packages that cited sregsurvey R package
View sregsurvey citation profile
Other R packages that sregsurvey depends, imports, suggests or enhances
Complete documentation for sregsurvey
Functions, R codes and Examples using the sregsurvey R package
Some associated functions: sreg_ber . sreg_pips . sreg_poisson . sreg_srswr . sreg_stsi . 
Some associated R codes: sreg_ber.R . sreg_pips.R . sreg_poisson.R . sreg_srswr.R . sreg_stsi.R .  Full sregsurvey package functions and examples
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