Description Objects from the Class Slots Methods
This class encapsulates results of a maximum likelihood procedure.
Objects can be created by calls of the form new("cold", ...)
,
but most often as the result of a call to cold
.
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"
.
signature(object="cold")
: Anova table.
signature(object="cold")
: A list of summary
statistics of the fixed effects coefficients.
signature(object="cold")
: The fitted values of a
fitted model.
signature(object="cold")
: The values corresponding to the fixed effects of a fitted model.
signature(object="cold")
: A numeric value corresponding to the AIC of the fitted model.
signature(object="cold")
: The values corresponding to the coefficient estimates of the fitted model.
signature(object="cold")
: A numeric value corresponding to the log-Likelihood of the fitted model.
signature(object="cold")
: The variance-covariance matrix of the fitted model.
signature(object="cold")
: The fixed effects model matrix of the fitted model.
signature(x="cold", y="missing")
: Plots three type of plots.
signature(object="cold")
: A data frame corresponding to the conditional random effects of the fitted model.
signature(object="cold")
: Display object briefly.
signature(object="cold")
: Generate object summary.
signature(object="cold")
: Numeric value(s) corresponding to the estimated random effect(s) variance of the fitted model.
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