cold-class {cold}

Class cold of a maximum likelihood estimation

Description

This class encapsulates results of a maximum likelihood procedure.

Objects from the Class

Objects can be created by calls of the form new("cold", ...), but most often as the result of a call to cold.

Slots

coefficients:

Object of class "matrix". Estimated parameters.

se:

Object of class "matrix". Standard errors of estimated parameters.

covariance:

Object of class "matrix". Covariance of estimated parameters.

correlation:

Object of class "matrix". Correlation of estimated parameters.

log.likelihood:

Object of class "numeric". The value of the log likelihood.

message:

Object of class "integer". A character string giving any additional information returned by the optimizer, or NULL. See optim for details.

n.cases:

Object of class "numeric". Number of individual profiles used in the optimization procedure.

ni.cases:

Object of class "numeric". Number of individual profiles in the dataset.

aic:

Object of class "numeric". The Akaike information criterion for a fitted model object.

Fitted:

Object of class "numeric". The fitted values for the estimated parameters.

bi.estimate:

Object of class "numeric". The estimated values for the individual random effects.

Fitted.av:

Object of class "numeric".

Time:

Object of class "numeric". Vector of time points.

model.matrix:

Object of class "matrix". The model matrix.

y.matrix:

Object of class "matrix". The matrix of response values.

random.matrix:

Object of class "matrix". The model matrix of random effects.

subset.data:

Object of class "data.frame". The data subset if considered.

final.data:

Object of class "data.frame". The data set considered.

y.av:

Object of class "numeric". The average of the response value over an individual profile.

data.id:

Object of class "numeric". Vector of individual observations.

call:

Object of class "language". The call to "cold".

Methods

anova

signature(object="cold"): Anova table.

coeftest

signature(object="cold"): A list of summary statistics of the fixed effects coefficients.

fitted

signature(object="cold"): The fitted values of a fitted model.

fixeff

signature(object="cold"): The values corresponding to the fixed effects of a fitted model.

getAIC

signature(object="cold"): A numeric value corresponding to the AIC of the fitted model.

getcoef

signature(object="cold"): The values corresponding to the coefficient estimates of the fitted model.

getLogLik

signature(object="cold"): A numeric value corresponding to the log-Likelihood of the fitted model.

getvcov

signature(object="cold"): The variance-covariance matrix of the fitted model.

model.mat

signature(object="cold"): The fixed effects model matrix of the fitted model.

plot

signature(x="cold", y="missing"): Plots three type of plots.

randeff

signature(object="cold"): A data frame corresponding to the conditional random effects of the fitted model.

show

signature(object="cold"): Display object briefly.

summary

signature(object="cold"): Generate object summary.

vareff

signature(object="cold"): Numeric value(s) corresponding to the estimated random effect(s) variance of the fitted model.