earth
dependency to fix build errorsstratify
argument changed to
FALSE
future
parallel backend must be specified externally by
userAs of January 2019: * Version 1.0.5 released on GitHub and CRAN. *
Addition of snow
and data.table
packages to
suggests to quell re-occurring warnings and errors on CRAN builds. *
Added nSL
option for fitting and averaging multiple super
learners as part of the estimation procedure. * Added
adapt_g
option for outcome-adaptive propensity score
fitting.
As of August 2019: * Added minor touch-ups and link fixes to documentation and vignettes. * Improved how slots are ordered upon being included in the return object.
As of July 2019: * Version 1.0.4.9001 released on GitHub. * Removed
dependency on plyr
package. * Added option to average over
repeated Super Learner fits.
As of December 18, 2018: * Version 1.0.4 released on GitHub and CRAN.
* Resolved issues arising from returnModels
option when
users input nuisance parameters. * Added option to bypass
future
parallelization calls for easier debugging. * Fixed
bugs in standard TMLE implementation – namely, more robust fluctuations
and corrected variance estimators.
As of July 2, 2018: * Version 1.0.3 released on GitHub and CRAN. * Fixed warnings on CRAN builds.
As of February 5, 2018: * Version 1.0.2 released on GitHub and CRAN.
* Replaced foreach
parallelization with
future
. * Included more robust Super Learner methods. *
Fixed test to pass build with long doubles removed. * Accommodated
returning estimated influence functions with drtmle()
fit
for power users. * Incorporated minor documentation corrections and
updates.
As of December 11, 2017: * Version 1.0.2.9000 released on GitHub. * More robust convex combination SuperLearner implemented.
As of August 17, 2017: * Version 1.0.0 released on CRAN. * Version 1.0.0.9000 released on GitHub.
As of August 15, 2017: * Version 1.0.0 ready for CRAN release.
As of April 05, 2017: * The first public release of this package (v. 0.0.1) is made available on GitHub.