lmWrapper

A matrix (or data.frame) of data to train (fit) the
model with.

train_matrix

The index of the criterion column-- "y" in the formula.

criterion_col

A vector of column indexes to fit-- the "x's" in the
formula.

cols_to_fit

A boolean of whether to include an intercept in
the formula.

include_intercept

Create an lm model just specifying columns, generating a formula for you.

internal

Implements various heuristics like Take The Best and
unit-weight linear, which do two-alternative choice: which of
two objects will have a higher criterion? Also offers functions
to assess performance, e.g. percent correct across all row pairs
in a data set and finding row pairs where models disagree.
New models can be added by implementing a fit and predict function--
see vignette. Take The Best was first described in: Gigerenzer, G.
& Goldstein, D. G. (1996) <doi:10.1037/0033-295X.103.4.650>. All
of these heuristics were run on many data sets and analyzed in:
Gigerenzer, G., Todd, P. M., & the ABC Group (1999).
<ISBN:978-0195143812>.

lmWrapper: Create an lm model just specifying columns, generating a formula for you.

Description

Usage

Arguments

Value