Glance at a joint model fit

Returns a single-row data.frame of model-level statistics for a fitted joint model. Follows the conventions of the broom package.

Usage

# S3 method for class 'joint'
glance(x, ...)

Arguments

x

an object of class joint.

...

additional arguments (currently unused).

Value

A one-row data.frame with columns:

logLik

joint log-likelihood at convergence.

AIC

Akaike information criterion.

BIC

Bayesian information criterion.

nobs

total number of longitudinal observations.

nsubj

number of subjects.

convergence

logical; whether the EM algorithm converged.

iter

number of EM iterations taken.

See also

tidy.joint, joint

Examples

data(heart.valve)
heart.surv <- UniqueVariables(heart.valve,
                              var.col = c("fuyrs", "status"),
                              id.col = "num")
heart.long <- heart.valve[, c("num", "time", "log.lvmi")]
heart.cov <- UniqueVariables(heart.valve,
                             c("age", "hs", "sex"),
                             id.col = "num")
heart.valve.jd <- jointdata(longitudinal = heart.long,
                            baseline = heart.cov,
                            survival = heart.surv,
                            id.col = "num",
                            time.col = "time")
fit <- joint(heart.valve.jd,
             long.formula = log.lvmi ~ 1 + time + hs,
             surv.formula = Surv(fuyrs, status) ~ hs,
             model = "intslope")
glance(fit)
#>      logLik      AIC     BIC nobs nsubj convergence iter
#> 1 -423.7073 863.4146 891.776  988   256        TRUE    9