Package index
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MDDCMDDC-package - Modified Detecting Deviating Cells Algorithm in Pharmacovigilance
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betablocker500 - FDA dataset for beta blockers with 500 adverse events
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check_and_fix_contin_table() - Verifying and correcting the input \(I\) by \(J\) contingency table
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find_optimal_coef() - Find Adaptive Boxplot Coefficient `coef` via Grid Search
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generate_contin_table_with_clustered_AE() - Generate simulated contingency tables with the option of incorporating adverse event correlation within clusters.
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generate_contin_table_with_clustered_AE_with_tol() - Generate simulated contingency tables with the option of incorporating adverse event correlation within clusters and tolerance for total report count.
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get_expected_counts() - Compute the Expected Count Matrix from a Contingency Table
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get_std_pearson_res() - Computing the standardized Pearson residuals for a given \(I \times J\) contingency table
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mddc_boxplot() - Modified Detecting Deviating Cells (MDDC) algorithm for adverse event signal identification with boxplot method for cutoff selection.
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mddc_mc() - Modified Detecting Deviating Cells (MDDC) algorithm for adverse event signal identification with Monte Carlo (MC) method for cutoff selection.
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plot_heatmap() - Plot Heatmap
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report_drug_AE_pairs() - Report the potential adverse events for drugs from contingency table
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sedative1000 - FDA dataset for sedatives with 1000 adverse events
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statin101 - FDA statin dataset with 101 adverse events
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statin49 - FDA statin dataset with 49 adverse events
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statin49_AE_idx - Cluster index of the FDA statin dataset with 49 adverse events