v0.8.0+docs

CausalELM v0.8.0+docs

v0.8.0

CausalELM v0.8.0

Diff since v0.7.0

Merged pull requests:

• v0.8.0 (#82) (@dscolby)

Closed issues:

• Add support for GPUs (#37)
• CausalELM v0.7.0 (#75)
• Add the marginal effect or the constant marginal effect (#76)
• Parallelize Randomization Inference (#77)
• Implement Confidence Intervals (#78)
• Inline Computationally Expensive Functions in Loops (#79)
• Extend Propensity Score-based Models to Allow Continuous Treatments (#80)
• Causal Mediation Analysis? (#81)

v0.7.0

CausalELM v0.7.0

Diff since v0.6.0

Merged pull requests:

• Replaced cross validation with log heuristic to select number of neurons (#63) (@dscolby)
• Updated release notes (#64) (@dscolby)
• Development (#66) (@dscolby)

Closed issues:

• CausalELM v0.6 (#61)
• Set a heuristic for deciding on the best number of neurons (#62)
• Make inference option in summarize methods (#65)
• Implement Bagging (#67)
• Remove the W argument (#68)
• Change default number of features (#69)
• Fix R-learning (#70)
• Make probabilistic predictions for binary outcomes (#71)
• Make swish the default activation function (#72)
• Make 50 the default number of ELMs (#73)
• Change how the perturbations are calculated to test the counterfactual consistency assumption (#74)

v0.6.0

CausalELM v0.6.0

Diff since v0.5.1

Merged pull requests:

• Changed approach to counterfactual consistency sensitivity check (#46) (@dscolby)
• Refactor (#58) (@dscolby)
• Refactor (#59) (@dscolby)
• Added a few more tests (#60) (@dscolby)

Closed issues:

• Make better looking documentation (#21)
• CausalELM v0.5.1 (#29)
• Doubly Robust Estimation (#31)
• Make counterfactual_consistency work for discrete outcomes (#33)
• Give better explanation for double machine learning in documentation (#34)
• Remove estimate_causal_effect! from constructor docstrings (#35)
• Make sigmoid layer for binary classifiers (#36)
• Add W argument (#39)
• Mild refactoring (#40)
• Update information about estimator treatment and outcome variable types (#41)
• Fix sample splitting and cross fitting for doubly robust estimation (#42)
• Fix convergence in extreme learning machines (#43)
• Update Docstrings (#44)
• Refactor GComputation, SLearner, DoubleMachineLearner, and RLearner (#45)
• Add doctests (#47)
• Fix ATT estimation for G-computation (#52)
• Infer whether a model should use regression or classification (#55)

v0.5.1

v0.5.1+docs

Updated index

v0.5.1

CausalELM v0.5.1

Diff since v0.5.0

v0.5.0

Changed version to v0.5.0

v0.4.0+docs

Added mkdocs.yml

v0.3+theme

Updated documentation theme

v0.3 with updated documentation

v0.3+docs

Updated documentation