confint.hisemit: Extract Wald-type asymptotic confidence intervals from a...

In gitlongor/hisemi: Hierarchical Semiparametric Regression of Test Statistics

Description

Extract Wald-type asymptotic confidence intervals from a hisemit object.

Usage

## S3 method for class 'hisemit'
confint(object, parm = c("lfdr", "fpp", "beta", "scale.fact", 
        "sd.ncp", "r", "coef", "pi0", "f"), level = 0.95, component, ...)

Arguments

object	A hisemit object.
parm	One of c("lfdr", "fpp", "beta", "scale.fact", "sd.ncp", "r", "coef", "pi0", "f"). See details.
level	A numeric scalar between 0 and 1, specifying the level of confidence.
component	Specifying which additive component to be extracted. See details.
...	Currently not used.

Details

The parm could be:

• 'lfdr' Local false discovery rates

• 'fpp' False positive proportions; not implemented yet.

• 'beta' Regression coefficients

• 'scale.fact' Multiplicative scale factor

• 'r' log(scale.fact-1)

• 'sd.ncp' Equivalent standard deviation of noncentrality parameters

• 'coef' All parameters

• 'pi0' Prior probability of true null hypotheses

• 'f' Underlying smooth function

The component specifies which component of the fitted smooth function to be extracted.
If component is missing, the overal function is returned.
If component='intercept', only the intercept term is returned.
If component is numeric, then it specifies the smooth function corresponding to which covariate to be extracted.

Value

A matrix (or vector) with columns giving lower and upper confidence limits for each parameter.

Author(s)

Long Qu [e-mail]

References

Long Qu, Dan Nettleton, Jack Dekkers (2012) A hierarchical semiparametric model for incorporating inter-gene relationship information for analysis of genomic data. Biometrics, 68(4):1168-1177

See Also

plot.hisemit, fitted.hisemit, coef.hisemit, vcov.hisemit, residuals.hisemit, logLik.hisemit, confint.hisemit, print.hisemit, penLik.EMNewton

gitlongor/hisemi documentation built on May 17, 2019, 5:28 a.m.