Extract fitted values and residuals from a predmicror fit

predmicror_augment() returns the original data, or optional new data, with columns containing fitted values and residuals. It is intentionally lightweight and does not require the broom package.

Usage

predmicror_augment(object, ...)

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

# S3 method for class 'predmicror_fit'
predmicror_augment(object, newdata = NULL, ...)

# S3 method for class 'predmicror_fit'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)

Arguments

object, x

A predmicror_fit object.

...

Additional arguments passed to predict().

newdata

Optional data frame used for prediction. If NULL, the data stored in the fitted object are used.

row.names, optional

Arguments required by the base as.data.frame() generic. They are accepted for method compatibility.

Value

A data frame containing the original columns plus .fitted, .resid when the response column is available, .model, and .type.

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)
)
head(predmicror_augment(fit))
#>   Time    logN     lnN    .fitted     .resid  .model  .type
#> 1    0 -0.1046 -0.2006 0.04562398 -0.2462240 HuangFM growth
#> 2    2  0.0792  0.1922 0.04562605  0.1465739 HuangFM growth
#> 3    4  0.1212  0.1587 0.05176904  0.1069310 HuangFM growth
#> 4    6  0.7344  1.5290 1.76811761 -0.2391176 HuangFM growth
#> 5    8  2.5531  5.9421 5.47539652  0.4667035 HuangFM growth
#> 6   10  3.8358  8.8024 9.19423483 -0.3918348 HuangFM growth