Description Usage Arguments Details Methods

Summarize objects

1 2 |

`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. |

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

object,
using the components (list elements) "call" and "terms" from its argument, plus
depending on the structure of the dependence model chosen, the table for the estimates of coefficients will appear
`log.psi1`

if the dependence structure of the process corresponds to a first-order
Markov chain, or both `log.psi1`

and `log.psi2`

if the dependence structure of the process corresponds
to a second-order Markov chain. `log.psi1`

is the log-odds ratio between adjacent observations and
`log.psi2`

is the logarithm of conditional odds ratio for observations separated by one time point.
If the structure of the dependence model chosen includes the random intercept (models "`indR`

", "`MC1R`

" and "`MC2R`

")
the estimate of the random effect (`omega`

) will also appear where *ω=log(ω^2)*.

`signature(object = "ANY")`

:Generic function.

`signature(object = "bild")`

:Prints a summary as an object of class

`summary.bild`

, containing information about the matched call to`bild`

, 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.

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