Multi: Residuals and log-likelihood contributions in multi-arm...
In NMAoutlier: Detecting Outliers in Network Meta-Analysis
Description
Usage
Arguments
Value
Description
Computes the arithmetic mean of standardized and log-likelihood contributions in the case of multi-arm trials.
Usage
1
Multi(st.lab, ei, wr)
Arguments
st.lab
studylab of set of studies
ei
standardized residuals for each comparison from a set of studies
wr
weigths of random effects model
Value
the arithmetic mean of standardized and log-likelihood contributions.
NMAoutlier documentation built on Oct. 11, 2021, 5:23 p.m.
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Description Usage Arguments Value
Description
Computes the arithmetic mean of standardized and log-likelihood contributions in the case of multi-arm trials.
Usage
1 | Multi(st.lab, ei, wr)
|
Arguments
st.lab |
studylab of set of studies |
ei |
standardized residuals for each comparison from a set of studies |
wr |
weigths of random effects model |
Value
the arithmetic mean of standardized and log-likelihood contributions.
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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