calibrate: Internal functions

In transreg: Penalised Regression with Multiple Sets of Prior Effects ('Transfer Learning')

Internal functions

Description

Internal functions called by [transreg()], depending on choice between exponential and isotonic calibration.

Usage

.exp.multiple(
  y,
  X,
  prior,
  family,
  switch = FALSE,
  select = TRUE,
  track = FALSE
)

.iso.multiple(
  y,
  X,
  prior,
  family,
  switch = FALSE,
  select = TRUE,
  track = FALSE
)

.iso.fast.single(y, X, prior, family)

.iso.slow.single(y, X, prior, family)

Arguments

y	target: vector of length n (see family)
X	features: matrix with n rows (samples) and p columns (features)
prior	prior coefficients: matrix with p rows (features) and k columns (sources of co-data)
family	character "gaussian" (y: real numbers), "binomial" (y: 0s and 1s), or "poisson" (y: non-negative integers);
switch	choose between positive and negative weights for each source: logical
select	select from sources: logical
track	show intermediate output (messages and plots): logical

Functions

• .exp.multiple(): called by 'transreg' if 'scale="exp"'

• .iso.multiple(): called by 'transreg' if 'scale="iso"'

• .iso.fast.single(): called by 'transreg' if 'scale="iso"' (via '.iso.multiple')

• .iso.slow.single(): replaced by '.iso.fast.single'

See Also

Use [transreg()] for model fitting.

transreg documentation built on June 10, 2025, 5:14 p.m.