Calculate model diagnostics for a fitted predmicror model

fit_metrics() summarizes goodness-of-fit and information criteria for a predmicror_fit object. The metrics are calculated on the response scale used in the fitted model.

Usage

fit_metrics(object, ...)

# Default S3 method
fit_metrics(object, ...)

# S3 method for class 'predmicror_fit'
fit_metrics(object, ...)

Arguments

object: A predmicror_fit object.
...: Currently unused. Included for future extension and S3 compatibility.

Value

A one-row data frame with columns: fit, model, type, response, response_scale, n (observations), p (parameters), SSE, RMSE, MAE, bias, RSE, R2, adj_R2, logLik, AIC, BIC, and converged.

Examples

data(growthfull)
fit <- fit_growth(
  data = growthfull,
  model = "HuangFM",
  time = "Time",
  response = "lnN",
  start = list(Y0 = 0, Ymax = 22, MUmax = 1.7, lag = 5)
)
fit_metrics(fit)
#>     model   type response response_scale  n p      SSE      RMSE       MAE
#> 1 HuangFM growth      lnN            lnN 13 4 1.777041 0.3697235 0.3379108
#>           bias       RSE        R2    adj_R2    logLik     AIC      BIC
#> 1 3.909757e-09 0.4443523 0.9982255 0.9973382 -5.511202 21.0224 23.84715
#>   converged
#> 1      TRUE