rcmFit-class: Class "rcmFit" for storing the results of the function...

In sigaR: Statistics for Integrative Genomics Analyses in R

Description

The class rcmFit is the output of a call to RCMestimation. It stores results from fitting a random coefficients model.

Slots

betas:

Object of class "numeric". Vector of estimated global regression coefficients for each of the covariates in the design matrix.

tau2s:

Object of class "numeric". Vector of estimated regression coefficient variances for each of the covariates in the design matrix X.

sigma2s:

Object of class "numeric". Vector of estimated error variances for all genes.

rho:

Object of class "numeric". Estimated correlation parameter between the error of two contiguous features.

av.sigma2s:

Object of class "numeric". Average of the unshrunken estimated error variances.

shrinkage:

Object of class "numeric". Applied shrinkage parameters in fitting the model.

loglik:

Object of class "numeric". The log-likelihood of the fitted model.

corType:

Object of class "character". Correlation structure of the error used.

X:

Object of class "matrix". The design matrix.

Methods

.RCMloss

signature(object = "rcmFit"): Calculates the log-likelihood associated with the fitted model.

RCMrandom

signature(object = "rcmFit"): Samples from the distribution induced by the fitted model.

summary

signature(object = "rcmFit"): Prints the estimation result.

Author(s)

Wessel N. van Wieringen: [e-mail]

See Also

RCMestimation, RCMrandom.

Examples

showClass("rcmFit")

sigaR documentation built on April 28, 2020, 6:05 p.m.