rtnorm_cpp

rttnorm_cpp

<code>rtnorm_cpp</code> draws from a one-sided truncated univariate normal
distribution.
<code>rttnorm_cpp</code> draws from a two-sided truncated univariate normal
distribution.

internal

Some general helper functions that I and maybe others find useful
when developing data science software. Functionality includes argument
validation, density calculation, sampling, matrix printing, user
interaction, storage helpers and more. The vignettes illustrate use cases.

Lennart Oelschläger

oeli

My Utilities for Developing Data Science Software

rtnorm_cpp function

<dl><dt>mean</dt>
<dd>A <code>numeric</code>, the mean.</dd>
<dt>sd</dt>
<dd>A <code>numeric</code>, the standard deviation.</dd>
<dt>point</dt>
<dd>A <code>numeric</code>, the truncation point.</dd>
<dt>above</dt>
<dd>A <code>logical</code>, if <code>TRUE</code> truncation from above and if <code>FALSE</code>
truncation from below.</dd>
<dt>log</dt>
<dd>A <code>logical</code>, if <code>TRUE</code> the draw is taken from the log-normal
distribution.
By default, <code>log = FALSE</code>.</dd>
<dt>lower</dt>
<dd>A <code>numeric</code>, the lower truncation point.</dd>
<dt>upper</dt>
<dd>A <code>numeric</code>, the upper truncation point.</dd></dl>

Arguments

Draw from univariate truncated normal — rtnorm_cpp

<dl>

<dt>mean</dt>
<dd>A <code>numeric</code>, the mean.</dd>


<dt>sd</dt>
<dd>A <code>numeric</code>, the standard deviation.</dd>


<dt>point</dt>
<dd>A <code>numeric</code>, the truncation point.</dd>


<dt>above</dt>
<dd>A <code>logical</code>, if <code>TRUE</code> truncation from above and if <code>FALSE</code>
truncation from below.</dd>


<dt>log</dt>
<dd>A <code>logical</code>, if <code>TRUE</code> the draw is taken from the log-normal
distribution.
By default, <code>log = FALSE</code>.</dd>


<dt>lower</dt>
<dd>A <code>numeric</code>, the lower truncation point.</dd>


<dt>upper</dt>
<dd>A <code>numeric</code>, the upper truncation point.</dd>

</dl>

rtnorm_cpp: Draw from univariate truncated normal

Description

Usage

Value

Arguments

Details