This is an update to improve documentation and to fix minor bugs.
This is an update to improve documentation and to add several new
features: 1. mimira and mimipo objects (the
output of with() and pool(), respectively) now
inherit from the mice classes mira and
mipo. This means mice methods work with these
objects. 2. coxph() when used with with() now
correctly uses the robust standard errors. 3. A cluster
argument has been added to with.mimids() to control whether
cluster-robust standard errors should be used to account for pair
membership when the model is a svyglm()-type model from the
survey package. The default is to include pair membership
when present and there are 20 or more unique subclasses (i.e., pairs).
This works by supplying the pair membership variable
(subclass) to the ids argument of
svydesign(). 4. cbind() methods have been
exported and documented. 5. mimids and wimids
objects are now much smaller, now containing only the supplied
mids object and the matchit() or
weightit() outputs. and 6. Added trim() to
trim estimated weights. This relies on WeightIt::trim() and
uses the same syntax (thanks Nicolas!).
This is an update to fix few bugs.
This is an update to change the definition of the
complete() function to evade name clashes with the tidyr
package.
This is an update to improve documentation and to fix minor bugs.
This is an update to improve documentation and to implement
compatibility for robust estimation of standard errors (compatibility
with the svyglm() and svycoxph(), from the survey
package, to be used as expressions within the with()
function) and for new matching and weighting methods (e.g. the
full, genetic, and cem matching
methods as well as ebal and optweight
weighting methods). Moreover, complete() function is
included in the package to replace the matchthem.data() and
weightthem.data().
This is a spit and polish update to improve documentation and to fix minor bugs.
This is the first release of the MatchThem
package both on the Github and the Comprehensive R
Archive Network (CRAN).
Farhad Pishgar
Noah Greifer
Clémence Leyrat
Elizabeth Stuart
