DynTxRegime v4.16 (Release date: 2025-05-03)
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Changes:

* Added author@R to DESCRIPTION

DynTxRegime v4.15 (Release date: 2023-11-23)
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Changes:

* Corrected roxygen2 formating

DynTxRegime v4.14 (Release date: 2023-08-29)
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Changes:

* Removed errant debugging argument

DynTxRegime v4.13 (Release date: 2023-08-28)
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Changes:

* Modified logit surrogate loss function to match documentation.

DynTxRegime v4.9 (Release date: 2020-11-09)
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Changes:

* Fixed typo for non-standard usage case of bowl()

DynTxRegime v4.8 (Release date: 2020-10-15)
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Changes:

* Fixed logic for bowl() optTx with multiple subsets modeled.

DynTxRegime v4.7 (Release date: 2020-07-21)
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Changes:

* Modified multiple decision point optimalClass logic.

DynTxRegime v4.6 (Release date: 2020-07-03)
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Changes:

* Fixed treatment of NAs in multiple decision point optimalSeq

DynTxRegime v4.5 (Release date: 2020-06-20)
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Changes:

* Fixed intercept only contrast model redefine
* Fixed flag for verification for zero propensity in optimalSeq
* Fixed incorrect message for subsets not modeled in propensity


DynTxRegime v4.4 (Release date: 2020-06-02)
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Changes:

* Changes to all fSet based methods to include logic for observational data that does not comply with feasible tx rules

DynTxRegime v4.3 (Release date: 2019-12-13)
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Changes:

* Changes to F_PropensityFit_fSet.R to allow for case of all singletons
DynTxRegime v4.2 (Release date: 2019-10-16)
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Changes:

* Changes to B_TxSubset.R to fix NA treatments
* Changes to C_TypedFitObj.R to check NA status of fit
* Changes to F_PropensityFit.R to remove stray code
* Changes to M_OptimKernel.R to add test for maxit failure
* Changes to O_LearningMulti.R and O_Learning.R to correct bug in value estimation


