run a set of regressions

run_regression(
  dt,
  model,
  nest_model = FALSE,
  min_n_datapoints = 1,
  model_data = model_data,
  model_filter_condition = NULL,
  model_name = model_name,
  model_enough_data = model_enough_data,
  model_data_points = model_data_points,
  model_fit = model_fit,
  model_coefs = model_coefs,
  model_summary = model_summary,
  model_params = model_params,
  in_reg = in_reg,
  residual = residual
)

Arguments

dt	data table
model	the regression model or named list of regression models. If a named list is provided, the name(s) will be stored in the `model_name` column instead of the formula.
nest_model	whether to nest the model outcome columns (for easier use in multi model systems), default is FALSE
min_n_datapoints	the minimum number of data points required for applying the model(s). Note that there is always an additional check to make sure the minimum number of degrees of freedom for each model is met. If the minimum number of degrees of freedom required is not met, the model will/can not be calculated no matter what `min_n_datapoints` is set to.
model_data	the nested model data column
model_filter_condition	a filter to apply to the data before running the regression (if only a subset of the data is part of the calibration data) - stored in `in_reg`, by default no filter
model_name	new column with the model formulae or names if supplied
model_enough_data	new column with information on whether the model has enough data (based on the required degrees of freedom for the model)
model_data_points	new column with information on the number of data points the model is based on
model_fit	the new model objects column
model_coefs	the new model coefficients nested data frame column
model_summary	the new model summary nested data frame column
model_params	the nested model information (only relevant if `nest_model = TRUE`)
in_reg	name of the new logical column in the nested model_data that flags the data included in the regression (i.e. the data that fullfills the `model_filter_condition` if provided)
residual	name of the new residual column in the nested model_data - residuals are only calculated for rows that are part of the regression (as determined by `model_filter_condition`)