cold-class {cold} | R Documentation |

## 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.

*cold*version 2.0-3 Index]