EBfit {SharedHT2} | R Documentation |
Extract the fit component from an object of class fit.n.data
EBfit(object)
object |
An object of class fit.n.data returned by EB.Anova |
An object of class EBfit
containing the following components:
coefficients |
a numerical vector of length d*(d+1)/2 + 1
containing the model parameters. The first is the logged shape
parameter of the inverse Wishart, and the remaining d*(d+1)/2 are
related to the its rate matrix parameter, which is symmetric and
d by d . The first d of these are the logged
diagonal elements and the remaining d*(d-1)/2 are the
off-diagonal elements. |
variance |
the estimated d*(d+1)/2 + 1 by d*(d+1)/2 + 1
covariance matrix of the model coefficients |
gradient |
the value of the gradient vector at the MLE–hopefully very close to zero. |
nu |
the shape parameter of the inverse Wishart =
exp(coefficients[1]) |
Lambda |
the rate parameter of the inverse Wishart, a positive
definite, symmeteric d by d matrix. |
likelihood |
the log likelihood...actually positive (like I said, big spike) |
fail, fncount, grcount, mask |
details from the optimization routine |
usegr |
whether the gradient method was used in the optimization |
call |
the original call to EB.Anova |
Grant Izmirlian izmirlian@nih.gov
EB.Anova
, EBfit
, SimAffyDat
,
TopGenes
, SimNorm.IG
,
SimMVN.IW
, SimMVN.mxIW
,
SimOneNorm.IG
, SimOneMVN.IW
,
SimOneMVN.mxIW
# See examples under ?EB.Anova