samplingVarEst-package {samplingVarEst}

Sampling Variance Estimation package

Description

The package contains functions to calculate some point estimators and estimate their variance under unequal probability sampling without replacement. Uni-stage and two-stage sampling designs are considered. The package further contains some approximations for the joint-inclusion probabilities (population and sample based formulae).

Emphasis has been put on the speed of routines as the package mostly uses C compiled code. Below there is a list of available functions. These are grouped in purpose lists, aiming to clarify their usage.

The user should pick a suitable combination of a population parameter of interest, a choice of point estimator, and a choice of variance estimator.

For these population parameters:	The available point estimators are:
total:	Est.Total.NHT
	Est.Total.Hajek
mean:	Est.Mean.NHT
	Est.Mean.Hajek
empirical cumulative distribution function:	Est.EmpDistFunc.NHT
	Est.EmpDistFunc.Hajek
ratio:	Est.Ratio
correlation coefficient:	Est.Corr.NHT
	Est.Corr.Hajek
regression coefficients:	Est.RegCoI.Hajek
	Est.RegCo.Hajek

For these point estimators:	The available variance estimators for uni-stage samples are:
Est.Total.NHT:	VE.HT.Total.NHT
	VE.SYG.Total.NHT
	VE.Hajek.Total.NHT
Est.Total.Hajek:	VE.Jk.Tukey.Total.Hajek
	VE.Jk.CBS.HT.Total.Hajek
	VE.Jk.CBS.SYG.Total.Hajek
	VE.Jk.B.Total.Hajek
	VE.EB.HT.Total.Hajek
	VE.EB.SYG.Total.Hajek
Est.Mean.NHT:	VE.HT.Mean.NHT
	VE.SYG.Mean.NHT
	VE.Hajek.Mean.NHT
Est.Mean.Hajek:	VE.Jk.Tukey.Mean.Hajek
	VE.Jk.CBS.HT.Mean.Hajek
	VE.Jk.CBS.SYG.Mean.Hajek
	VE.Jk.B.Mean.Hajek
	VE.EB.HT.Mean.Hajek
	VE.EB.SYG.Mean.Hajek
Est.Ratio:	VE.Lin.HT.Ratio
	VE.Lin.SYG.Ratio
	VE.Jk.Tukey.Ratio
	VE.Jk.CBS.HT.Ratio
	VE.Jk.CBS.SYG.Ratio
	VE.Jk.B.Ratio
	VE.EB.HT.Ratio
	VE.EB.SYG.Ratio
Est.Corr.NHT:	VE.Jk.Tukey.Corr.NHT
Est.Corr.Hajek:	VE.Jk.Tukey.Corr.Hajek
	VE.Jk.CBS.HT.Corr.Hajek
	VE.Jk.CBS.SYG.Corr.Hajek
	VE.Jk.B.Corr.Hajek
Est.RegCoI.Hajek:	VE.Jk.Tukey.RegCoI.Hajek
	VE.Jk.CBS.HT.RegCoI.Hajek
	VE.Jk.CBS.SYG.RegCoI.Hajek
	VE.Jk.B.RegCoI.Hajek
Est.RegCo.Hajek:	VE.Jk.Tukey.RegCo.Hajek
	VE.Jk.CBS.HT.RegCo.Hajek
	VE.Jk.CBS.SYG.RegCo.Hajek
	VE.Jk.B.RegCo.Hajek

For these point estimators:	The available variance estimators for self-weighted two-stage samples are:
Est.Total.Hajek:	VE.Jk.EB.SW2.Total.Hajek
Est.Mean.Hajek:	VE.Jk.EB.SW2.Mean.Hajek
Est.Ratio:	VE.Jk.EB.SW2.Ratio
Est.Corr.Hajek:	VE.Jk.EB.SW2.Corr.Hajek
Est.RegCoI.Hajek:	VE.Jk.EB.SW2.RegCoI.Hajek
Est.RegCo.Hajek:	VE.Jk.EB.SW2.RegCo.Hajek

For the inclusion probabilities:	The available functions are:
1st order inclusion probabilities:	Pk.PropNorm.U
2nd order (joint) inclusion probabilities:	Pkl.Hajek.s
	Pkl.Hajek.U

datasets

oaxaca

Details

To return to this description type:
help(samplingVarEst)
or type:
?samplingVarEst
To cite, use:
citation("samplingVarEst")