The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Initial CRAN release.
localAteDS() aggregate function computes the local
ATE estimate and, optionally, the variance statistics (arm-specific
residual sums of squares and within-server projected scatter) needed for
the delta-method variance. Set compute_variance = FALSE to
limit disclosure to the three scalars strictly needed for the point
estimate (n_k, n_k_1, tau_k). The
heterogeneous argument (default TRUE)
additionally returns covariate column sums, allowing the client to
assemble the global covariate mean for the leverage-corrected variance
estimator.
addStudyIdDS() assign function appends K-1 integer
study-dummy columns to a server-side data frame, supporting the adjusted
generalised difference estimator when study membership directly shifts
the outcome.
All functions enforce DataSHIELD disclosure controls: privacy
control level is checked via
dsBase::checkPermissivePrivacyControlLevel() and minimum
subset size is validated against nfilter.subset from
dsBase::listDisclosureSettingsDS().
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.
Health stats visible at Monitor.