Produces results on QAIC for each model combination, variance inflation factor for each independent variable, ADF test for stationarity, and plots for residuals to assess the models.
hc_model_validation(
df_list,
cb_list,
independent_cols = NULL,
dfseas = 8,
save_fig = FALSE,
save_csv = FALSE,
output_folder_path = NULL,
seed = NULL
)qaic_results A dataframe of QAIC and dispersion metrics for each
model combination and geography.
qaic_summary A dataframe with the mean QAIC and dispersion metrics
for each model combination.
vif_results A dataframe of variance inflation factors for each
independent variables by geography.
vif_summary A dataframe with the mean variance inflation factors
for each independent variable.
adf_results A dataframe of ADF test results for each geography.
A list of dataframes containing daily timeseries data for a health outcome and climate variables which may be disaggregated by a particular geography.
List of cross-basis matrices from hc_create_crossbasis function.
Character/list. Additional independent variables to test in model validation as confounders. Defaults to NULL.
Integer. Degrees of freedom for seasonality. Defaults to 8.
Boolean. Whether to save the plot as an output. Defaults to FALSE.
Boolean. Whether to save the results as a CSV. Defaults to FALSE.
Path to folder where plots should be saved. Defaults to NULL.