Description Usage Arguments Details Value Examples
Atomic simulation of AUC coverage experiment with undersmoothing
1 2 3 4 5 6 7 8 9 10 | AtomicSim.US(
distribution,
n,
AUC,
theta_squared,
var_eq,
ME_var_ratio,
R = 1000,
US_ratio = c(0.5, 0.25)
)
|
distribution |
one of the following strings : "normal", "gamma.skewed", "gamma.symmetrical" , "log.normal", "bimodal1", "bimodal2", "t3", "laplace", "cauchy" |
n |
number of observations in each group |
AUC |
the probability P(X>Y) of correctly ranking a pair of random observations (diseased,healthy). |
theta_squared |
contamination parameter (noise/signal) |
var_eq |
logical - if TRUE VX=VY=1, if FALSE VX=2VY=2 ratio of the biomarker variances |
ME_var_ratio |
(defaults to 1) the ration between ME variances, V |
R |
bootstrap replications (defaults to 1000) |
US_ratio |
vector of multipliers for the undersmoothing of bootstrap samples (defaults to 0.5,0.25) |
This is the doOne
function required by simsalapar
for parallel simulations.
a vector of the point estimate and percentile CI and also the original observations,all concatenated in a named vector.
1 | AtomicSim("gamma.skewed",250,0.8,0.5,TRUE,1,R=1000)
|
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