getpar: Extract hyper-parameter estimates from a gagafit or nnfit...
In gaga: GaGa hierarchical model for high-throughput data analysis

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

Extracts the hyper-parameter estimates from a gagafit or nnfit object and puts them in a list.

1	getpar(fit)

fit

Object of class gagafit or nnfit.

This routine simply evaluates the component parest from a gagafit or nnfit object, which causes an error if this component is not available. This routine is used internally by a number of other routines.

For gagafit objects, a list with components:

`a0`	Estimated value of hyper-parameter `a0`
`nu`	Estimated value of hyper-parameter `nu`
`balpha`	Estimated value of hyper-parameter `balpha`
`nualpha`	Estimated value of hyper-parameter `nualpha`
`probclus`	Estimated cluster probabilities
`probpat`	Estimated prior probability of each expression pattern

For nnfit objects, a vector with elements mu0, tau02, v0, sigma02, probclus and probpat. These are the hierarchical N(mu0,tau0^2) * IG(.5*v0,.5*v0*sigma0^2) prior parameter estimates.

David Rossell

Rossell D. (2009) GaGa: a Parsimonious and Flexible Model for Differential Expression Analysis. Annals of Applied Statistics, 3, 1035-1051.

Yuan, M. and Kendziorski, C. (2006). A unified approach for simultaneous gene clustering and differential expression identification. Biometrics 62(4): 1089-1098.

fitGG, fitNN, parest

gaga documentation built on Nov. 8, 2020, 5:49 p.m.