make_bins: Histogram Binning Procedures for Pooled Hazards Regression

In haldensify: Highly Adaptive Lasso Conditional Density Estimation

Description

Histogram Binning Procedures for Pooled Hazards Regression

Usage

make_bins(grid_var, grid_type = c("hist", "scaled"), max_bins = 30L)

Arguments

grid_var	The numeric vector over which histogram-based binning is to be performed.
grid_type	A character indicating the choice of binning rule, with "hist" corresponding to the use of several rules proposed for optimal histogram construction and "scaled" corresponding to the use of various pre-set multiples of the square root of the sample size.
max_bins	A numeric indicating the maximum number of bins that are allowed in the grid for building the histogram based discretization.

haldensify documentation built on Feb. 10, 2022, 1:07 a.m.