log_spaced

Sequence that is equally spaced on the log scale

A tool that improves the prediction performance of multilevel
regression with post-stratification (MrP) by combining a number of machine
learning methods. For information on the method, please refer to Broniecki,
Wüest, Leemann (2020) ''Improving Multilevel Regression with
Post-Stratification Through Machine Learning (autoMrP)'' in the
'Journal of Politics'. Final pre-print version:
<https://lucasleemann.files.wordpress.com/2020/07/automrp-r2pa.pdf>.

Philipp Broniecki

autoMrP

Improving MrP with Ensemble Learning

Reto Wüest

Lucas Leemann

Florian Schaffner

Hadley Wickham

log_spaced function

<dl><dt>min</dt>
<dd>The minimum value of the sequence. A positive numeric scalar (min
&gt; 0).</dd>
<dt>max</dt>
<dd>The maximum value of the sequence. a positive numeric scalar (max
&gt; 0).</dd>
<dt>n</dt>
<dd>The length of the sequence. An integer valued scalar.</dd></dl>

Arguments

Sequence that is equally spaced on the log scale — log_spaced

<dl>

<dt>min</dt>
<dd>The minimum value of the sequence. A positive numeric scalar (min
&gt; 0).</dd>


<dt>max</dt>
<dd>The maximum value of the sequence. a positive numeric scalar (max
&gt; 0).</dd>


<dt>n</dt>
<dd>The length of the sequence. An integer valued scalar.</dd>

</dl>

log_spaced: Sequence that is equally spaced on the log scale

Description

Usage

Value

Arguments