rmw_predict_nested_sets_by_year: Function to make predictions by meteorological year from a...
In rmweather: Tools to Conduct Meteorological Normalisation and Counterfactual Modelling for Air Quality Data

rmw_predict_nested_sets_by_year

R Documentation

Function to make predictions by meteorological year from a random forest models using a nested tibble.

Function to make predictions by meteorological year from a random forest models using a nested tibble.

rmw_predict_nested_sets_by_year(
  df_nest,
  variables = NA,
  n_samples = 10,
  aggregate = TRUE,
  n_cores = NULL,
  verbose = FALSE
)

`df_nest`	Nested tibble created by `rmw_model_nested_sets`.
`variables`	Variables to randomly sample. Default is all variables used for training the model with the exception of `date_unix`, the trend term.
`n_samples`	Number of times to sample the observations from each meteorological year and then predict.
`aggregate`	Should all the `n_samples` predictions be aggregated?
`n_cores`	Number of CPU cores to use for the model calculations.
`verbose`	Should the function give messages?

Nested tibble.

Stuart K. Grange