| r {rknn} | R Documentation |
Choose number of KNNs
r(p, m = floor(sqrt(p)), eta = 0.99, nu = 20, rmax = p, nsim = 1000,
lambda = 0.01, method = c("binomial", "poisson", "nu",
"geo.independent", "geo.sim", "geo.dependent", "lambda"))
p |
Total number of available features. |
m |
Number of features to be drawn by each KNN. |
eta |
Coverage Probability. |
nu |
mean mutiplicity of a feature |
rmax |
number of series terms for independent geometric approximation |
nsim |
number of simulations for geometric simulation. |
lambda |
mean number of silient features. |
method |
one of binomial, poisson, nu, geo.independent, geo.sim, geo.dependent, lambda |
Method binomial and poisson are approximation method for a given eta value.
Method nu computes r for a given nu.
Method geo.independent, geo.sim and geo.dependent compute r using
geomerical random variables z until eachh is at least drawn once. The difference is that
geo.independent ignores dependency,geo.sim is a simulation method and geo.independent
is an exact method using gmp package.
Method lambda computes r for a given lambda.
An integer.
Shengqiao Li<lishengqiao@yahoo.com>
r(100, 10);