View source: R/ols-stepaic-forward-regression.R
| ols_step_forward_sbic | R Documentation | 
Build regression model from a set of candidate predictor variables by entering predictors based on sawa bayesian criterion, in a stepwise manner until there is no variable left to enter any more.
ols_step_forward_sbic(model, ...)
## Default S3 method:
ols_step_forward_sbic(
  model,
  include = NULL,
  exclude = NULL,
  progress = FALSE,
  details = FALSE,
  ...
)
## S3 method for class 'ols_step_forward_sbic'
plot(x, print_plot = TRUE, details = TRUE, digits = 3, ...)
| model | An object of class  | 
| ... | Other arguments. | 
| include | Character or numeric vector; variables to be included in selection process. | 
| exclude | Character or numeric vector; variables to be excluded from selection process. | 
| progress | Logical; if  | 
| details | Logical; if  | 
| x | An object of class  | 
| print_plot | logical; if  | 
| digits | Number of decimal places to display. | 
List containing the following components:
| model | final model; an object of class  | 
| metrics | selection metrics | 
| others | list; info used for plotting and printing | 
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
Other forward selection procedures: 
ols_step_forward_adj_r2(),
ols_step_forward_aic(),
ols_step_forward_p(),
ols_step_forward_r2(),
ols_step_forward_sbc()
# stepwise forward regression
model <- lm(y ~ ., data = surgical)
ols_step_forward_sbic(model)
# stepwise forward regression plot
k <- ols_step_forward_sbic(model)
plot(k)
# selection metrics
k$metrics
# extract final model
k$model
# include or exclude variables
# force variable to be included in selection process
ols_step_forward_sbic(model, include = c("age"))
# use index of variable instead of name
ols_step_forward_sbic(model, include = c(5))
# force variable to be excluded from selection process
ols_step_forward_sbic(model, exclude = c("liver_test"))
# use index of variable instead of name
ols_step_forward_sbic(model, exclude = c(4))
# include & exclude variables in the selection process
ols_step_forward_sbic(model, include = c("age"), exclude = c("liver_test"))
# use index of variable instead of name
ols_step_forward_sbic(model, include = c(5), exclude = c(4))
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