lbc_maxlik {lboxcox}

Train a Logistic Box-Cox model using MaxLik

Description

Train the given formula using a Logistic Box-Cox model.

Usage

lbc_maxlik(
  formula,
  weight_column_name,
  data,
  init = NULL,
  svy_lambda_vector = seq(0, 2, length = 4),
  init_lambda_vector = seq(0, 2, length = 100),
  num_cores = 1,
  seed,
  iterlim,
  timelim
)

Arguments

formula

a formula of the form y ~ x + z1 + z2 where y is a binary response variable, x is a continuous predictor variable, and z1, z2, ... are covariates

weight_column_name

the name of the column in 'data' containing the survey weights.

data

dataframe containing the dataset to train on

init

initial estimates for the coefficients. If NULL the svyglm model will be used

svy_lambda_vector

values of lambda used in training svyglm model. Best model is used for initial coefficient estimates. If init is not NULL this parameter is ignored.

init_lambda_vector

values of lambda used in finding the optimal lambda with the best loglikelihood

num_cores

the number of cores used when finding the best svyglm model. If init is not NULL this parameter is ignored.

seed

set seed for MaxLik function

iterlim

Maximum number of iterations of MaxLik

timelim

Maximum iteration time of MaxLik

Value

object of class 'maxLik' from the 'maxLik' package. Contains the coefficient estimates that maximizes likelhood among other statistics.

Note

This is reliant on the following work:

Henningsen, A., Toomet, O. (2011). maxLik: A package for maximum likelihood estimation in R. Computational Statistics, 26(3), 443-458.

Microsoft Corporation, Weston, S. (2020). foreach: Provides Foreach Looping Construct. R package version 1.5.1.

Microsoft Corporation, Weston, S. (2020). doParallel: Foreach Parallel Adaptor for the 'parallel' Package. R package version 1.0.16.