Package index
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tau_norm()tau_norm_outliers()tau_norm_covariate()tau_norm_covariate_outliers()tau_norm_covariate_cont()tau_norm_covariate_levels() - Causal Effect Functions
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adjust_block_tests() - Test every block and adjust the p-values
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alpha_addis() - Alpha adjustment function: ADDIS
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alpha_investing() - Alpha adjustment function: Alpha Investing
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alpha_saffron() - Alpha adjustment function: SAFFRON
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calc_errs() - Calculate the error and success proportions of tests for a single iteration
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create_effects() - Simulate Treatment Effects
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dists_and_trans() - Outcome distances and transformations
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edisti() - Outcome e-distances between treatment arms
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errsimfn() - Error assessment function
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fast_dists_and_trans_by_unit_arma_parR() - Outcome distances and transformations: C++ OpenMP Parallel version
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findBlocks() - Test, Split, Repeat
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make_results_ggraph() - Make a plot of the nodes
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make_results_tree() - Make a node level tree object of the results of nested testing
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nodeidfn() - Use hashing to make a node id
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pIndepDist() - P-value function: Independence Treatment Distance Test
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pOneway() - P-value function: T-test
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pWilcox() - P-value function: Wilcox Test
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padj_test_fn() - Create treatment effect, then add tau and test using the SIUP method
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report_detections() - Return detected blocks plus info
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reveal_po_and_test() - Repeat experiment, reveal treatment effects from the potential outcomes, test within each block, summarize
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reveal_po_and_test_siup() - Repeat experiment, reveal treatment effects from the potential outcomes, test within partitions, summarize
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splitCluster() - Splitting function: K-Means Clustering
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splitEqualApprox() - Splitting function: Approx Equal Splits
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splitLOO() - Splitting function: Leave One Out
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splitSpecified() - A set of pre-specified splits using a data.table object (Deprecate)
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splitSpecifiedFactor() - A set of pre-specified splits
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splitSpecifiedFactorMulti() - A set of pre-specified splits