aver: Estimated overall average from sample selection model

In SemiParSampleSel: Semi-Parametric Sample Selection Modelling with Continuous or Discrete Response

Description

aver can be used to calculate the overall estimated average from a sample selection model, with corresponding confidence interval obtained using the delta method.

Usage

aver(x, sig.lev = 0.05, sw = NULL, univariate = FALSE, delta = TRUE, n.sim = 100)

Arguments

x	A fitted SemiParSampleSel object as produced by SemiParSampleSel().
sig.lev	Significance level.
sw	Survey weights.
univariate	It indicates whether the prevalence is calculated using a (naive/classic) univariate equation model or sample selection model. This option has been introduced to compared adjusted and unadjusted estimates.
delta	If TRUE then the delta method is used for confidence interval calculations, otherwise Bayesian posterior simulation is employed.
n.sim	Number of simulated coefficient vectors from the posterior distribution of the estimated model parameters. This is used when delta = FALSE. It may be increased if more precision is required.

Details

aver estimates the overall average of an outcome of interest when there are missing values that are not at random.

Value

res	It returns three values: lower confidence interval limit, estimated average and upper confidence interval limit.
sig.lev	Significance level used.

Author(s)

Maintainer: Giampiero Marra [e-mail]

See Also

SemiParSampleSel-package, SemiParSampleSel, summary.SemiParSampleSel

Examples

## see examples for SemiParSampleSel

SemiParSampleSel documentation built on May 2, 2019, 6:35 a.m.