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Confidence interval for a linear contrast of effect sizes

Source: R/meta_comp.R
meta.lc.gen.Rd

Computes the estimate, standard error, and confidence interval for a linear contrast of any type of effect size from two or more studies.

For more details, see Setion 3.2 of Bonett (2021, Volume 5).

Usage

meta.lc.gen(alpha, est, se, v)

Arguments

alpha

alpha level for 1-alpha confidence

est

vector of parameter estimates

se

vector of standard errors

v

vector of contrast coefficients

Value

Returns 1-row matrix with the following columns:

  • Estimate - estimated linear contrast

  • SE - standard error

  • LL - lower limit of the confidence interval

  • UL - upper limit of the confidence interval

References

Bonett DG (2021). Statistical Methods for Psychologists, Vol 1-5, https://dgbonett.sites.ucsc.edu/.

Examples

est <- c(.55, .59, .44, .48, .26, .19)
se <- c(.054, .098, .029, .084, .104, .065)
v <- c(.5, .5, -.25, -.25, -.25, -.25)
meta.lc.gen(.05, est, se, v)
#>          Estimate         SE        LL        UL
#> Contrast   0.2275 0.06755461 0.0950954 0.3599046

# Should return: 
#          Estimate         SE        LL        UL
# Contrast   0.2275 0.06755461 0.0950954 0.3599046