augment.conditional_moment: Augment data with information from a conditional mean fit or...

In PuwasalaG/conduits: CONDitional UI for Time Series normalisation

Augment data with information from a conditional mean fit or conditional variance fit

Description

This function produces partial residuals for each predictor, and the estimated conditional means, standard error and confidence limits.

Usage

## S3 method for class 'conditional_moment'
augment(x, level = 0.95, ...)

Arguments

x	Model object of class "conditional_moment" returned from conditional_mean or conditional_var with information to append to observations.
level	Confidence level. Default is set to 0.95.
...	Additional arguments, not currently used

Value

A tibble with information about data points.

See Also

gam

Examples

data <- NEON_PRIN_5min_cleaned |>
  dplyr::filter(site == "upstream") |>
  dplyr::select(Timestamp, turbidity, level, conductance, temperature)

fit_mean <- data |>
  conditional_mean(turbidity ~ s(level, k = 8) +
    s(conductance, k = 8) + s(temperature, k = 8))

data_inf <- fit_mean |> augment()

PuwasalaG/conduits documentation built on April 22, 2023, 3:40 p.m.