biccalc: BIC Calculator

In markcus1/gagam: Genetic Algorithm for Generalized Additive Models

Description

Calculates the BIC of the model. Internal use only.

Usage

biccalc(
  pop_matrix_row,
  all_dataframe,
  Kvar,
  Kint,
  k,
  bs,
  family,
  method,
  optimizer,
  always_par
)

Arguments

pop_matrix_row	Vector containing a model
all_dataframe	Dataframe with all variables
Kvar	Maximum number of variables allowed in the final model
Kint	Maximum number of interactions allowed in the final model
k	Basis dimension for nonparametric terms estimated using cubic splines.
family	Specifies the family for the gam (see ?family and ?family.mgcv). Default is gaussian().
method	Specifies the metric for smoothing parameter selection (see ?gam). Default is "REML".
optimizer	Specifies the numerical optimization algorithm for the gam (see ?gam). Default is c("outer","newton").
always_par	Specifies which variables are always estimated parametrically

Value

BIC value of the model

markcus1/gagam documentation built on April 16, 2020, 11:50 a.m.