knitr::opts_chunk$set(echo = TRUE)
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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