Package: sregsurvey 0.1.3

Carlos Alberto Cardozo Delgado

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.

Authors:Carlos Alberto Cardozo Delgado [aut, cre, cph], Carlos E. Alonso-Malaver [aut]

sregsurvey_0.1.3.tar.gz
sregsurvey_0.1.3.tar.gz(r-4.7-any)sregsurvey_0.1.3.tar.gz(r-4.6-any)
sregsurvey_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
sregsurvey/json (API)

# Install 'sregsurvey' in R:
install.packages('sregsurvey', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.04 score 11 scripts 764 downloads 5 exports 77 dependencies

Last updated from:4ba5cff1f2. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK169
source / vignettesOK190
linux-release-x86_64OK167
wasm-releaseOK119

Exports:sreg_bersreg_pipssreg_poissonsreg_srswrsreg_stsi

Dependencies:caretclasscliclockcodetoolscpp11data.tablediagramdigestdplyre1071farverforeachfuturefuture.applygamlssgamlss.datagamlss.distgenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixModelMetricsnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartS7scalesshapesparsevctrsSQUAREMstringistringrsurvivalTeachingSamplingtibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr