mdt: Estimated arginal density of t-statistics

Description Usage Arguments Details Value Author(s) References See Also

Description

Estimated arginal density of t-statistics from ncpest class

Usage

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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, ...)

Arguments

obj

an object of ncpest (nparncpt or parncpt

...

Other argument passed to dtn.mix, most notably, the approximaiton argument

Details

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.

Value

A function of one argument (x), i.e., the marginal density function.

Author(s)

Long Qu

References

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.

See Also

parncpt. nparncpt ,sparncpt


pi0 documentation built on July 9, 2017, 9:01 a.m.