summary-methods | R Documentation |
Summarize objects
## S4 method for signature 'bild'
summary(object, cov=FALSE, cor=FALSE)
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 \omega=\log\sigma^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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