Glance accepts a model object and returns a tibble with exactly one row of model summaries.

## Usage

```
# S3 method for flexsurvreg
glance(x, ...)
```

## Arguments

- x
Output from

`flexsurvreg`

or`flexsurvspline`

, representing a fitted survival model object.- ...
Not currently used.

## Value

A one-row `tibble`

containing columns:

`N`

Number of observations used in fitting`events`

Number of events`censored`

Number of censored events`trisk`

Total length of time-at-risk (i.e. follow-up)`df`

Degrees of freedom (i.e. number of estimated parameters)`logLik`

Log-likelihood`AIC`

Akaike's "An Information Criteria"`BIC`

Bayesian Information Criteria

## Examples

```
fitg <- flexsurvreg(formula = Surv(futime, fustat) ~ age, data = ovarian, dist = "gengamma")
glance(fitg)
#> # A tibble: 1 × 8
#> N events censored trisk df logLik AIC BIC
#> <int> <int> <int> <dbl> <int> <dbl> <dbl> <dbl>
#> 1 26 12 14 15588 4 -89.7 187. 192.
```