Augment a beezdemand_tmb Model
Usage
# S3 method for class 'beezdemand_tmb'
augment(x, newdata = NULL, ...)Value
A tibble with original data plus .fitted, .resid, and
.std_resid columns. Residuals are computed on the model's native scale
(log scale for "exponential", natural/LL4 scale for others) to match the
C++ likelihood.
Examples
# \donttest{
data(apt)
fit <- fit_demand_tmb(apt, equation = "exponential", verbose = 0)
#> equation='exponential': Dropped 14 zero-consumption observations (146 remaining).
head(augment(fit))
#> # A tibble: 6 × 6
#> id x y .fitted .resid .std_resid
#> <fct> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 19 0 10 2.31 -0.00581 -0.0408
#> 2 19 0.5 10 2.26 0.0404 0.284
#> 3 19 1 10 2.22 0.0863 0.606
#> 4 19 1.5 8 2.17 -0.0914 -0.642
#> 5 19 2 8 2.13 -0.0463 -0.325
#> 6 19 2.5 8 2.08 -0.00156 -0.0110
# }