This holds output from a call to zlm.SingleCellAssay. Many methods are defined to operate on it. See below.
# S4 method for ZlmFit,CoefficientHypothesis
lrTest(object, hypothesis)# S4 method for ZlmFit,Hypothesis
lrTest(object, hypothesis)
# S4 method for ZlmFit,matrix
lrTest(object, hypothesis)
# S4 method for ZlmFit,CoefficientHypothesis
waldTest(object, hypothesis)
# S4 method for ZlmFit,Hypothesis
waldTest(object, hypothesis)
# S4 method for ZlmFit
coef(object, which, ...)
# S4 method for ZlmFit
vcov(object, which, ...)
# S4 method for ZlmFit
se.coef(object, which, ...)
call to Hypothesis or CoefficientHypothesis or a matrix giving such contrasts.
character vector, one of "C" (continuous) or "D" (discrete) specifying which component should be returned
ignored
lrTest
: Returns an array with likelihood-ratio tests on contrasts defined using CoefficientHypothesis()
.
lrTest
: Returns an array with likelihood-ratio tests specified by Hypothesis
, which is a Hypothesis.
lrTest
: Returns an array with likelihood-ratio tests specified by Hypothesis
, which is a contrast matrix
.
waldTest
: Returns an array with Wald Tests on contrasts defined using CoefficientHypothesis()
.
waldTest
: Returns an array with Wald Tests on contrasts defined in Hypothesis()
coef
: Returns the matrix of coefficients for component which
.
vcov
: Returns an array of variance/covariance matrices for component which
.
se.coef
: Returns a matrix of standard error estimates for coefficients on component which
.
coefC
coefD
matrices of coefficients
vcovC
vcovD
array of variance/covariance matrices for coefficients
LMlike
the LmWrapper object used
sca
the SingleCellAssay
object used
deviance
loglik
df.null
df.resid
dispersion
dispersionNoShrink
priorDOF
priorVar
converged
output that may optionally be set by the underlying modeling function
hookOut
a list of length ngenes containing output from a hook function, if zlm
was called with one
zlm.SingleCellAssay summary,ZlmFit-method