select_by_mask

Select columns from a matrix using an integer bitmap

Finds causal connections in precision data, finds lags and embeddings in
time series, guides training of neural networks and other smooth models, evaluates
their performance, gives a mathematically grounded answer to the over-training
problem. Smooth regression is based on the Gamma test, which measures smoothness
in a multivariate relationship. Causal relations are smooth, noise is not.
'sr' includes the Gamma test and search techniques that use it.
References: Evans & Jones (2002) <doi:10.1098/rspa.2002.1010>,
AJ Jones (2004) <doi:10.1007/s10287-003-0006-1>.

Wayne Haythorn

Smooth Regression - The Gamma Test and Tools

Antonia Jones

Sam Kemp

select_by_mask function

<dl><dt>data</dt>
<dd>A numeric matrix in tidy form</dd>
<dt>intMask</dt>
<dd>An Integer vector whose length equals number of columns in data</dd></dl>

Arguments

Select by Mask — select_by_mask

<dl>

<dt>data</dt>
<dd>A numeric matrix in tidy form</dd>


<dt>intMask</dt>
<dd>An Integer vector whose length equals number of columns in data</dd>

</dl>

select_by_mask: Select by Mask

Description

Usage

Value

Arguments

Details

Examples