Package index
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A_func() - A(t)
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big_H_func() - Function H(t)
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biv_cop() - Copula cdf for bivariate copula
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biv_cop_dens() - Copula density for bivariate copula
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calculate_true_sens_spec() - Calculate sensitivity and specificity
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cloglog() - cloglog-link function
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cloglog_inv() - Inverse cloglog-link function
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compute_AUC() - Compute AUC
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deriv2_A() - A”(t)
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deriv_A() - A'(t)
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deriv_Astrich_get_A_func() - d/dt A'(t)/A(t)
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evaluate_metaROC() - Evaluate estimated model
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evaluate_weibull() - Evaluate Weibull AFT model
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fit_metaROC() - Fit a model to data for meta-analysis of ROC curves
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fit_metaROC_GLMM() - Fit discrete GLMM for meta-analysis of ROC curves
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fit_metaROC_copula() - Fit copula model for meta-analysis of ROC curves
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fit_metaROC_logit_LMM() - Fit logit LMM for meta-analysis of ROC curves
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generate_data_GLMM() - Generate data from discrete GLMM
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generate_data_copula() - Generate data from copula model
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generate_data_logit_LMM() - Generate data from logit LMM
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generate_data_weibull_AFT() - Generate data from Weibull AFT model
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get_copula_starting_values() - Compute starting parameters for copula model
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get_survprobs() - Calculate survival probabilities
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input_pickand() - Input t for Pickands dependence function
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ll_cop() - Negative log-likelihood of copula
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p_func() - p(t)
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plot_data() - Plot data used for meta-analysis
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plot_evaluation() - Plot several evaluation criteria for a model
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post_process_simulation_metaROC() - Post-process metaROC simulation
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preprocess_copula() - Preprocess copula data
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preprocess_diagmeta() - Pre-process data for diagmeta package
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preprocess_event_data() - Pre-process event data
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preprocess_weibull_aft() - Preprocess Weibull AFT data
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s_gompertz() - Gompertz survival function
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s_loglogistic() - Log-logistic survival function
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s_lognormal() - Log-normal survival function
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s_weibull() - Weibull survival function
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sim_pipeline_metaROC() - metaROC simulation pipeline
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simulate_metaROC() - Create metaROC simulation data
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simulation_wrapper_metaROC() - Simulation wrapper function
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small_h_func() - Function h(t)