To be used in fit_mfp().
create_fp_terms(fp_powers, acdx, df, select, alpha, criterion)Dataframe with overview of all fp terms. Each row represents a variable,
with rownames giving the name of the variable. Variables with acd
transformation are prefixed by A_ by the print and summary methods.
The dataframe comprises the following columns:
df_initial: initial degrees of freedom.
select: significance level for backward elimination.
alpha: significance level for fractional polyomial terms.
selected: logical value encoding presence in the model.
df_final: final estimated degrees of freedom.
acd: logical value encoding use of ACD transformation.
powerN: one or more columns with the final estimated fp powers (numbered
1 to N).
powers of the created FP terms.
a logical vector of length nvars indicating which continuous variables should undergo the approximate cumulative distribution (ACD) transformation.
a numeric vector of length nvars of degrees of freedom.
a numeric vector of length nvars indicating significance levels for backward elimination.
a numeric vector of length nvars indicating significance levels for tests between FP models of different degrees.
a character string defining the criterion used to select variables and FP models of different degrees.