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:
sregsurvey_0.1.3.tar.gz
sregsurvey_0.1.3.tar.gz(r-4.5-noble)sregsurvey_0.1.3.tar.gz(r-4.4-noble)
sregsurvey_0.1.3.tgz(r-4.4-emscripten)sregsurvey_0.1.3.tgz(r-4.3-emscripten)
sregsurvey.pdf |sregsurvey.html✨
sregsurvey/json (API)
| # Install 'sregsurvey' in R: |
| install.packages('sregsurvey', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:4ba5cff1f2. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-linux | OK | Oct 27 2024 |
Exports:sreg_bersreg_pipssreg_poissonsreg_srswrsreg_stsi
Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygamlssgamlss.datagamlss.distgenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivalTeachingSamplingtibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr
