Description Usage Arguments Value Author(s) References See Also Examples
Fits hierarchical global polynomial regression model to t-statistics through Newtonian algorithms.
1 2 3 4 5 6 7 |
tstat |
A numeric vector t-statistics |
x |
A numeric matrix of covariates, with |
df |
A numeric scalar or vector of degrees of freedom |
starts |
An optional numeric vector of starting values. The first element is the |
pen.order |
A numeric scalar of the order of derivatives of which squared integration will be used as roughness penalty. Note: The final order of the global polynomial is always |
optim.method |
A character scalar specifying the method of optimization. |
newton.iter.max |
A numeric scalar specifying the maximum number of iterations in Newton method. |
scale.conv |
A small numeric scalar specifying the convergence criterion for the scale parameter. |
lfdr.conv |
A small numeric scalar specifying the convergence criterion for the local false discovery rates. |
NPLL.conv |
A small numeric scalar specifying the convergence criretion for the negative penalized log likelhood. |
debugging |
A logical scalar. If |
plotit |
A locgical scalr specifying whether a plot should be generated. |
... |
Currently not used. |
An list of class hisemit
:
lfdr: |
A numeric vector of local false discovery rates. |
model |
A list of |
scale.fact: |
A list with
where |
pi0: |
A numeric vector of mixing proportions for the central t component |
tuning: |
A list with
|
spar: |
A list with
|
enp: |
A list with
|
fit: |
A list with
|
NPLL: |
A list with
|
Long Qu rtistician@gmail.com
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
penLik.EMNewton
, plot.hisemit
, fitted.hisemit
, coef.hisemit
,
vcov.hisemit
, residuals.hisemit
, logLik.hisemit
,
confint.hisemit
, plot.hisemit
,
hisemi-package
, pi0-package
1 | # See the example for the package.
|
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