correlation_conditional_mle: Conditional mle for Pearson's correlation
In ammeir2/CoReAnalysis:
Description
Conditional mle for Pearson's correlation
Usage
1
2
correlation_conditional_mle(corr, df, threshold = NULL,
pval_threshold = 0.05)
Arguments
corr
the observed correaltion
df
the size of the sample the correaltion was computed from
threshold
an alternative way to specify the selection threshold. If specificed,
then the selection rule is assumed to be abs(x) > threshold. Takes precedence to
pval_threshold.
pval_threshold
the pvalue corresponding to the correlation (under the null)
must be below this value to be observed.
ammeir2/CoReAnalysis documentation built on May 17, 2019, 1:28 p.m.
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Description
Conditional mle for Pearson's correlation
Usage
1 2 | correlation_conditional_mle(corr, df, threshold = NULL,
pval_threshold = 0.05)
|
Arguments
corr |
the observed correaltion |
df |
the size of the sample the correaltion was computed from |
threshold |
an alternative way to specify the selection threshold. If specificed,
then the selection rule is assumed to be |
pval_threshold |
the pvalue corresponding to the correlation (under the null) must be below this value to be observed. |
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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