Package index • DiagTestKit

Functions

cloppearSnSp(): Binomial confidence interval, Clopper-Pearson method.

estimateSnSp(): Estimate Sensitivity and Specificity

estimateSnSpControl(): control values for estimateSnSp

updateAlpha(): Update alpha values for existing simulation

Helper Functions

.beta_parm(): Convert Beta Paramaterizations

.cell_counts(): Obtain cell counts

.create_triangle_dist(): Create Triangular Distribution

.emp_hpd(): Calculate the empirical hpd.

.get_simulated_values(): Get Simulated Values

.get_values(): Optimization of Sensitivity and Specificity

.minimize_cell(): minimize cell

S3 & S4 classes

cp-class cp: cp-class

snsp-class snsp: snsp-class

Data Sets

data1: Data set for Example 1 in vignette "DiagTestKit Examples"

data2: Data set for Example 2 in vignette "DiagTestKit Examples"

data3: Data set for Example 3 in vignette "DiagTestKit Examples"

data4: Data set for Example 4 in vignette "DiagTestKit Examples"

data5: Data set for Example 5 in vignette "DiagTestKit Examples"

data6: Data set for Example 6 in vignette "DiagTestKit Examples"

data7: Data set for Example 7 in vignette "DiagTestKit Examples"

data8: Data set for Example 8 in vignette "DiagTestKit Examples"

dat_dichot: Assay Validation Sensitivity and Specificity (Diagnostic Kit Format) example from CVB Data Guide.

dat_infal: Counts data used in vignette "DiagTestKit GettingStarted" section 4