chisq2S: Compute the robust effect size index estimator
In simonvandekar/RESI: Robust Effect Size Index (RESI) Estimation
Description
Usage
Arguments
Value
Description
This function computes the robust effect size index from Vandekar, Rao, & Blume (2020).
Vector arguments are accepted. If different length arguments are passed they are dealt with in the usual way of R.
Usage
1
Arguments
chisq
The chi-square statistic for the parameter of interest.
df
Number of degrees of freedom of the chi-square statistic.
rdf
Model residual degrees of freedom or number of independent samples.
Value
Returns a scalar or vector argument of the the robust effect size index estimate.
simonvandekar/RESI documentation built on Jan. 22, 2021, 2:40 a.m.
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Description Usage Arguments Value
Description
This function computes the robust effect size index from Vandekar, Rao, & Blume (2020). Vector arguments are accepted. If different length arguments are passed they are dealt with in the usual way of R.
Usage
1 |
Arguments
chisq |
The chi-square statistic for the parameter of interest. |
df |
Number of degrees of freedom of the chi-square statistic. |
rdf |
Model residual degrees of freedom or number of independent samples. |
Value
Returns a scalar or vector argument of the the robust effect size index estimate.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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