Man pages for emery
Accuracy Statistic Estimation for Imperfect Gold Standards
| aggregate_boot_ML | Aggregate bootstrapped ML estimates |
| bin_auc | Calculate AUC for single Se/Sp pair |
| boot_ML | Bootstrap ML accuracy statistic estimation for multi-method... |
| censor_data | Censor data randomly rowwise |
| define_disease_state | Define the True disease state of a simulated sample |
| dmvnorm | Multivariate Normal Densities |
| estimate_ML | Estimate maximum likelihood accuracy statistics by... |
| generate_multimethod_data | Create data sets which simulate paired measurements of... |
| getNames | Return names from MultiMethodMLEstimate object |
| getNames-MultiMethodMLEstimate-method | Return names from MultiMethodMLEstimate object |
| getResults | Return result from MultiMethodMLEstimate object |
| getResults-MultiMethodMLEstimate-method | Return result from MultiMethodMLEstimate object |
| MultiMethodMLEstimate-class | S4 object containing the results of multi-method ML accuracy... |
| name_thing | Create unique names for a set of things |
| new_boot_ML | Create new boot_ML class object |
| plot.boot_ML | Plot univariate distributions of bootstrapped ML estimates |
| plot_ML | Create plots visualizing the ML estimation process and... |
| plot-MultiMethodMLEstimate-method | Create plots from a MultiMethodMLEstimate object |
| pollinate_ML | Generate seed values for EM algorithm |
| random_start | Generate a random initial starting point for EM algorithm |
| setFreqs | Set frequencies of MultiMethodMLEstimate objects |
| setFreqs-MultiMethodMLEstimate-method | Set frequencies of MultiMethodMLEstimate objects |
| show-MultiMethodMLEstimate-method | Show a MultiMethodMLEstimate S4 object |
| unique_obs_summary | Reduce Data by Summarizing Observations |
