Learn R Programming

selection (version 1.0)

Correcting Biased Estimates Under Selection

Description

A collection of functions for correcting biased estimates under selection (range restriction).

Copy Link

Version

Install

install.packages('selection')

Monthly Downloads

20

Version

1.0

License

GPL-2

Maintainer

Dustin Fife

Last Published

March 18th, 2016

Functions in selection (1.0)

caseIV

Correct x/y correlations using Case IV
caseII

Corrects correlations using Case II
mv.correction

Estimate the unrestricted covariance matrix using the Pearson-Lawley's Multivariate Correction
caseIII

Corrects correlations using Case III
normalMean

Compute mean of truncated normal
normalVar

Compute variance of truncated normal
caseIIIR

Corrects correlations using Case III-R
rel.correction

Corrects a correlation for unreliability
em

Estimate correlations with the EM
r.to.d

Convert r into cohen's d
d.to.r

Convert cohen's d into r
selection.example.data

Fictitious data of a pool of applicants
d.computation

Compute Cohen's d
Ut

Compute the unrestricted variance of T.