Description Usage Arguments Details Value Author(s) References See Also
Estimated arginal density of t-statistics from ncpest
class
1 2 3 4 5 6 7 | marginal.dt(obj,...)
## S3 method for class 'parncpt'
marginal.dt(obj,...)
## S3 method for class 'nparncpt'
marginal.dt(obj, ...)
## S3 method for class 'sparncpt'
marginal.dt(obj, ...)
|
obj |
an object of |
... |
Other argument passed to |
When obj$data$df
are all equal to each other, a single marginal density is clearly defined for all obj$data$tstat
. Otherwise,
the marginal density is defined as a discrete mixture of densities, one for each distinct degree of freedom,
with mixing proportion based on that of obj$data$df
.
A function of one argument (x
), i.e., the marginal density function.
Long Qu
Qu L, Nettleton D, Dekkers JCM. (2012) Improved Estimation of the Noncentrality Parameter Distribution from a Large Number of $t$-statistics, with Applications to False Discovery Rate Estimation in Microarray Data Analysis. Biometrics, 68, 1178–1187.
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