egg_correlations: Compute the derived parameters correlations from a cubic...

In mcanouil/eggla: Early Growth Genetics Longitudinal Analysis

Compute the derived parameters correlations from a cubic splines mixed-effects model by egg_model().

Description

Based on computed area under the curves (i.e., egg_aucs()) and slopes (i.e., egg_slopes()) for several intervals using a model fitted by egg_model(), compute the correlations between each intervals derived parameters.

Usage

egg_correlations(
  fit,
  period = c(0, 0.5, 1.5, 3.5, 6.5, 10, 12, 17),
  knots = c(1, 8, 12),
  start = 0.25,
  end = 10,
  step = 0.01,
  filter = NULL
)

Arguments

fit	A model object from a statistical model such as from a call to egg_model().
period	The intervals knots on which slopes are to be computed.
knots	The knots as defined fit and according to method.
start	The start of the time window to compute AP and AR.
end	The end of the time window to compute AP and AR.
step	The step to increment the sequence.
filter	A string following data.table syntax for filtering on "i" (i.e., row elements), e.g., filter = "source == 'A'". Argument pass through compute_apar() (see predict_bmi()). Default is NULL.

Value

A data.table object with correlations between each intervals derived parameters.

Examples

data("bmigrowth")
res <- egg_model(
  formula = log(bmi) ~ age,
  data = bmigrowth[bmigrowth[["sex"]] == 0, ],
  id_var = "ID",
  random_complexity = 1
)
egg_correlations(
  fit = res,
  period = c(0, 0.5, 1.5, 3.5, 6.5, 10, 12, 17),
  knots = c(1, 8, 12)
)

mcanouil/eggla documentation built on April 5, 2025, 3:06 a.m.