check_input

Performs a sanity check on the inputs from caller. It stops execution and
outputs an error message if arguments are not in conformity with caller
method.

Implementation of statistical models based on
regularized likelihood for offline change point detection on multiple
aligned independent time series. It detects changes in
parameters for the specified family for the series as group or block.
As a reference for the method, see Prates et al. (2021) <arXiv:2111.10187>.

Lucas Prates

blockcpd

Change Point Detection for Multiple Aligned Independent Time
Series

Florencia Leonardi

check_input function

<dl><dt>caller</dt>
<dd>name of the function that called the check_input.</dd>
<dt>args_to_check</dt>
<dd>list of arguments that will be checked.</dd></dl>

Arguments

Checks input from caller — check_input

<dl>

<dt>caller</dt>
<dd>name of the function that called the check_input.</dd>


<dt>args_to_check</dt>
<dd>list of arguments that will be checked.</dd>

</dl>

check_input: Checks input from caller

Description

Usage

Arguments