Internal functions

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