summary-methods {cold} | R Documentation |

## Methods for function `summary`

### Description

Summarize objects.

### Usage

```
## S4 method for signature 'cold'
summary(object, cov=FALSE, cor=FALSE)
```

### Arguments

`object` |
an object of class |

`cov` |
if set to TRUE prints the matrix of covariances between parameters estimates. The default is FALSE. |

`cor` |
if set to TRUE prints the matrix of correlations between parameters estimates. The default is FALSE. |

### Details

Computes and returns a list of summary statistics of the fitted model given a `cold`

object, using the components
(list elements) "call" and "terms" from its argument, plus
depending on the structure of the dependence model chosen. In the table for coefficient estimates will appear `rho`

if the dependence structure of the process corresponds to an `AR1`

, `AR1R`

or `AR1R2`

.
If the structure of the dependence model chosen includes the random intercept (models "`indR`

" and "`AR1R`

"),
the variance estimate for random intercept is given.
If the structure of the dependence model chosen includes two random effects (models "`indR2`

" and "`AR1R2`

")
the variance estimates for random intercept and for the slope (time) are given.

### Methods

`signature(object = "ANY")`

:Generic function.

`signature(object = "cold")`

:Prints a summary as an object of class

`summary.cold`

, containing information about the matched call to`cold`

, the number of profiles in the data, the number of profiles used in the fit, the log-likelihood, the AIC, a table with estimates, asymptotic SE, t-values and p-values, the estimated correlation and variance-covariance matrix for the estimated parameters if the user wishes, and a message giving additional information returned by the optimizer.

*cold*version 2.0-3 Index]