Skip to contents

Glance at a beezdemand_tmb Model

Source: R/tmb-methods.R
glance.beezdemand_tmb.Rd

Glance at a beezdemand_tmb Model

Usage

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

Arguments

x

A beezdemand_tmb object.

...

Additional arguments.

Value

A one-row tibble of model-level statistics with columns:

  • model_class: "beezdemand_tmb"

  • backend: "TMB_mixed"

  • equation_form: The demand equation that was fitted

  • nobs: Number of observations

  • n_subjects: Number of subjects

  • n_random_effects: Total number of random-effect columns per subject

  • converged: Convergence status

  • logLik, AIC, BIC: Model fit statistics

The canonical columns match glance.beezdemand_nlme(), so backend-agnostic code needs no dispatch glue.

Examples

# \donttest{
data(apt)
fit <- fit_demand_tmb(apt, equation = "exponential", verbose = 0)
#>   equation='exponential': Dropped 14 zero-consumption observations (146 remaining).
glance(fit)
#> # A tibble: 1 × 10
#>   model_class  backend equation_form  nobs n_subjects n_random_effects converged
#>   <chr>        <chr>   <chr>         <int>      <int>            <int> <lgl>    
#> 1 beezdemand_… TMB_mi… exponential     146         10                2 TRUE     
#> # ℹ 3 more variables: logLik <dbl>, AIC <dbl>, BIC <dbl>
# }