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.Add the following code to your website.
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