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metamedian_survival function for
meta-analyzing median survival timesdat.lung data setmethod_cd to
cd_method in the metamedian() functiondescribe_studies() functiondat.phq9_raw and dat.phq9 data
setsse_method and
sd_method arguments in the metamean()
function. They are now set based on the value set for the
mean_method argument.'wan' option for the
mean_method argument to 'hozo/wan/bland'.
Similarly, renamed the 'shi_normal' option for the
'sd_method' argument to 'wan/shi_normal'. the
metamean() function.metamean() function, which can apply several
methods to estimate study-specific means and their standard errors in
order to estimate the pooled (difference of) meanscd() function, which applies the Confidence
Distribution method of Ozturk and Balakrishnan (2020) to estimate the
pooled medianmetamedian() function, which is a wrapper for
the qe(), cd(), and pool.med()
functions.describe_studies() function for performing
descriptive analysesdat.age_raw, dat.age,
dat.asat_raw, dat.asat,
dat.ck_raw, and dat.ck data sets and
corresponding example applications in the documentationmetamean(),
metamedian(), and describe_studies()
functionsqe() functionpool.med() function to allow users to
specify the desired coverage probabilityqe() function when calculating
the sampling variance for studies reporting means. Consequently, removed
the need for the internal qe.group.level() functionqe() function when data provided
are of class “integer”qe.fit() and print.qe.fit() defunct.
These functions were moved to the ‘estmeansd’ package.qe() throwing errorsget.scenario(), as we do not
anticipate users applying this functionqe.fit() and print.qe.fit()
functions. These functions were moved to the ‘estmeansd’ package. As a
result, ‘estmeansd’ was imported.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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