This package is considered a duplicate. The official version of this package is found at:https://wahani.r-universe.dev/saeRobust

Package: saeRobust 0.5.0

Sebastian Warnholz

saeRobust: Robust Small Area Estimation

Methods to fit robust alternatives to commonly used models used in Small Area Estimation. The methods here used are based on best linear unbiased predictions and linear mixed models. At this time available models include area level models incorporating spatial and temporal correlation in the random effects.

Authors:Sebastian Warnholz [aut, cre]

saeRobust_0.5.0.tar.gz
saeRobust_0.5.0.tar.gz(r-4.5-noble)saeRobust_0.5.0.tar.gz(r-4.4-noble)
saeRobust_0.5.0.tgz(r-4.4-emscripten)saeRobust_0.5.0.tgz(r-4.3-emscripten)
saeRobust.pdf |saeRobust.html✨
saeRobust/json (API)
NEWS

# Install 'saeRobust' in R:

install.packages('saeRobust', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/wahani/saerobust/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

openblas cpp

2.95 score 3 packages 12 scripts 320 downloads 46 exports 73 dependencies

Last updated 10 months agofrom:03abcc4044. Checks:OK: 2. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Dec 11 2024
R-4.5-linux-x86_64	OK	Dec 11 2024

Exports:addAverageDamp addConstraintMax addConstraintMin addCounter addHistory addMaxIter addStorage blandAltmanPlot boot bootstrap convCritAbsolute convCritRelative corAR1 corSAR1 corSAR1AR1 fitGenericModel fitrfh fitrsfh fitrstfh fitrtfh fixedPoint getK makeXY matA matAConst matB matBConst matTrace matTZ matTZ1 matU matW matWbc mse newtonRaphson newtonRaphsonFunction psiOne qqPlot rfh score testMatX testResponse testResponse0 testRook update variance

Dependencies:aoos assertthat boot brew cachem callr class classInt cli colorspace commonmark cpp11 DBI deldir desc e1071 evaluate fansi farver fastmap fs ggplot2 glue gtable highr isoband KernSmooth knitr labeling lattice lifecycle magrittr MASS Matrix memoise mgcv modules munsell nlme pbapply pillar pkgbuild pkgconfig pkgload processx proxy ps purrr R6 RColorBrewer Rcpp RcppArmadillo rlang roxygen2 rprojroot s2 scales sf sp spData spdep stringi stringr tibble units utf8 vctrs viridisLite withr wk xfun xml2 yaml

Notes on the fixed point framework

Rendered fromfixedPoint.Rmdusingknitr::rmarkdownon Dec 11 2024.

Last update: 2016-05-16
Started: 2016-05-16

Citation

Readme and manuals

Help Manual

Help page	Topics
Fit model on Bootstrap sample	boot boot,ANY,ANY,integerORnumeric-method boot,rfh,rfhVariance,NULL-method bootstrap
Correlation Structure	corAR1 corAR1-class corSAR1 corSAR1-class corSAR1AR1 corSAR1AR1-class
Fitting Precedures	fitGenericModel fitrfh fitrsfh fitrstfh fitrtfh rfh,numeric,matrixORMatrix,numeric,corAR1-method rfh,numeric,matrixORMatrix,numeric,corSAR1-method rfh,numeric,matrixORMatrix,numeric,corSAR1AR1-method rfh,numeric,matrixORMatrix,numeric,NULL-method
Fixed Point Algorithm Infrastructure	addAverageDamp addConstraintMax addConstraintMin addCounter addHistory addMaxIter addStorage convCritAbsolute convCritRelative fixedPoint newtonRaphson newtonRaphsonFunction
makeXY	makeXY
Matrix constructor functions	matA matAConst matB matBConst matTrace matTZ matTZ1 matU matW matWbc
Compute the Mean Squared Error of an Estimator	mse mse.fitrfh
Plots	blandAltmanPlot plot.mse.fitrfh plot.prediction.fitrfh plot.rfh qqPlot
psiOne	getK psiOne
Robust Fay Herriot Model	predict.fitrfh rfh rfh,formula,data.frame,character,ANY-method
Compute values of robust score functions	score
Construction of test data	testMatX testResponse testResponse0 testRook
Update a fitted object	update,fitrfh-method update,rfh-method
Construct variance	variance variance.fitrfh variance.fitrsfh variance.fitrstfh variance.fitrtfh weights.fitrfh