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... |
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 |
show-MultiMethodMLEstimate-method | Show a MultiMethodMLEstimate S4 object |
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