vcov,HdxStatModel-method | R Documentation |
Generics for hdxstats package
## S4 method for signature 'HdxStatModel' vcov(object) ## S4 method for signature 'HdxStatModel' anova(object) ## S4 method for signature 'HdxStatModel' logLik(object) ## S4 method for signature 'HdxStatModel' likRatio(object) ## S4 method for signature 'HdxStatModel' wilk(object) ## S4 method for signature 'HdxStatModel' coef(object) ## S4 method for signature 'HdxStatModel' deviance(object) ## S4 method for signature 'HdxStatModel' residuals(object) ## S4 method for signature 'HdxStatModel' summary(object) ## S4 method for signature 'QFeatures' fitUptakeKinetics( object, feature = NULL, design = NULL, formula = NULL, start = list(a = NULL, b = 0.001, d = NULL, p = 1), maxAttempts = 5 )
object |
An instance of class |
feature |
The rowname of feature to be modelled |
design |
The design defining conditions and replicates. Default is NULL. |
formula |
The formula for the non-linear fit. |
start |
The initial guess for the parameters. Parameters must match formula |
The variance-covariance matrix of the parameters
An analysis of variance
The log likelihod of the fitted model assuming normally distributed residuals.
The log likelihood ratio between the alternative and null models
Applies Wilk's theorem to generate a p-value based on the likelihood ratio test
Returns the coefficients of the null and alternative models
Returns the deviance of the fitted models
The residuals from the fitted models
Returns a summary of the fitted models.
Returns an instance of HdxStatModels
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