Glance a LOGISTIC

Construct a single row summary of the LOGISTIC model.

Usage

# S3 method for LOGISTIC
glance(x, ...)

Arguments

x

model or other R object to convert to single-row data frame

...

other arguments passed to methods

Value

A one row tibble summarising the model's fit.

Details

Contains the R squared (r_squared), variance of residuals (sigma2), the log-likelihood (log_lik), and information criterion (AIC, AICc, BIC).

Examples

melb_rain |>
  model(logistic = LOGISTIC(Wet ~ fourier(K = 5, period = "year"))) |>
  glance()
#> # A tibble: 1 × 12
#>   .model      df log_lik   AIC  AICc   BIC deviance df.residual  rank
#>   <chr>    <int>   <dbl> <dbl> <dbl> <dbl>    <dbl>       <int> <int>
#> 1 logistic    11  -2787. 5596. 5596. 5666.    5574.        4311    11
#> # ℹ 3 more variables: null_deviance <dbl>, df_null <int>, nobs <int>