re_run_model: re_run_model

In linea: Linear Regression Interface

re_run_model

Description

Re-run a linear regression model

Usage

re_run_model(
  model,
  data = NULL,
  dv = NULL,
  ivs = NULL,
  trans_df = NULL,
  id_var = NULL,
  pool_var = NULL,
  model_table = NULL,
  normalise_by_pool = FALSE,
  verbose = FALSE,
  decompose = TRUE
)

Arguments

model	the model object used as the starting point of the re-run
data	data.frame containing variables included in the model specification
dv	string of the dependent variable name
ivs	character vector of the independent variables names
trans_df	data.frame defining the non-linear transformations to apply
id_var	string of id variable name (e.g. date)
pool_var	string of pool variable name (e.g. country)
model_table	data.frame as created in the build_model_table function
normalise_by_pool	A boolean to specify whether to apply the normalisation
verbose	A boolean to specify whether to print warnings
decompose	A boolean to specify whether to generate the model decomposition

Details

Re-run a linear regression model using the function output of running linea::run_model.

Value

Model object

Examples

model = run_model(mtcars,ivs = 'cyl', dv = 'mpg',save_all_raw_data = TRUE)
re_run_model(model,ivs = c('disp','cyl','wt'))

linea documentation built on Sept. 15, 2022, 9:06 a.m.