get_forecast_data: Get data for forecast models

In caldwellst/augury: Provides Streamlined Methods for Data Imputation and Forecasting for WHO DDI Statistics

Get data for forecast models

Description

Keep only the latest contiguous time series, dropping all other NA values from the response variable. Removes test column variables first.

Usage

get_forecast_data(df, response, sort_col, sort_descending, test_col)

Arguments

df	Data frame of model data.
response	Column name of response variable to be used as the input to the forecast function.
sort_col	Column name of column to arrange data by in dplyr::arrange(), prior to filtering for latest contiguous time series and producing the forecast. Not used if NULL, defaults to "year".
sort_descending	Logical value on whether the sorted values from sort_col should be sorted in descending order. Defaults to FALSE.
test_col	Name of logical column specifying which response values to remove for testing the model's predictive accuracy. If NULL, ignored. See model_error() for details on the methods and metrics returned.

Value

A data series.

caldwellst/augury documentation built on Oct. 10, 2024, 8:20 a.m.