Usage
box.tidwell(y, ...)
## S3 method for class 'formula':
box.tidwell(formula, other.x=NULL, data=NULL, subset,
na.action=options()$na.action, verbose=FALSE, tol=0.001,
max.iter=25, ...)
## S3 method for class 'default':
box.tidwell(y, x1, x2=NULL, max.iter=25, tol=0.001,
verbose=FALSE, ...)
## S3 method for class 'box.tidwell':
print(x, digits, ...)
Arguments
formula
two-sided formula, the right-hand-side of which gives the
predictors to be transformed.
other.x
one-sided formula giving the predictors that are not
candidates for transformation, including (e.g.) factors.
data
an optional data frame containing the variables in the model.
By default the variables are taken from the environment from which
box.tidwell is called.
subset
an optional vector specifying a subset of observations to be used.
na.action
a function that indicates what should happen when the data contain NAs.
The default is set by the na.action setting of options.
verbose
if TRUE a record of iterations is printed.
tol
if maximum relative change in coefficients is less than tol then
convergence is declared.
max.iter
maximum number of iterations.
x1
matrix of predictors to transform.
x2
matrix of predictors that are not candidates for transformation.
digits
number of digits for rounding.