MRTAnalysis 0.2.0
- Added new functionality for distal outcomes in MRTs:
- Implemented
dcee()
for estimating distal causal
excursion effects.
- Supports flexible nuisance regression learners (
lm
,
gam
, rf
, ranger
,
SuperLearner
) with optional cross-fitting.
- Provides small-sample t inference via
summary.dcee_fit()
, consistent with wcls()
and
emee()
.
- New synthetic dataset
data_distal_continuous
for
examples and testing.
- Added vignette: Exploratory Analysis for MRT: Distal Outcomes.
- Minor bug fixes and improvements to wcls() and emee()
documentation.
MRTAnalysis 0.1.2
- Fixed a bug in wcls when the randomization probability is
time-varying.
- Now all variable inputs need to be in quotation marks; for example,
from now on one should specify id = “userid” instead of id = userid.
This is to allow dynamically specified column names.
MRTAnalysis 0.1.1
- Updated vignette to improve clarify.
MRTAnalysis 0.1.0