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

• Initial release.