pnorm_parallel

Calculate in parallel for each value from vector <code>x</code> 
distribution function of normal distribution with 
mean equal to <code>mean</code> and standard deviation equal to <code>sd</code>.

Multivariate conditional and marginal densities, moments, cumulative distribution functions as well as binary choice and sample selection models based on Hermite polynomial approximation which was proposed and described by A. Gallant and D. W. Nychka (1987) <doi:10.2307/1913241>.

Potanin Bogdan

Distributions Hermite Polynomial Approximation

pnorm_parallel function

<dl><dt>x</dt>
<dd>vector of quantiles: should be numeric vector,
not just double value.</dd>
<dt>mean</dt>
<dd>double value.</dd>
<dt>sd</dt>
<dd>double positive value.</dd>
<dt>is_parallel</dt>
<dd>if <code>TRUE</code> then multiple cores will be
used for some calculations. It usually provides speed advantage for
large enough samples (about more than 1000 observations).</dd></dl>

Arguments

Calculate normal cdf in parallel — pnorm_parallel

<dl>

<dt>x</dt>
<dd>vector of quantiles: should be numeric vector,
not just double value.</dd>


<dt>mean</dt>
<dd>double value.</dd>


<dt>sd</dt>
<dd>double positive value.</dd>


<dt>is_parallel</dt>
<dd>if <code>TRUE</code> then multiple cores will be
used for some calculations. It usually provides speed advantage for
large enough samples (about more than 1000 observations).</dd>

</dl>

pnorm_parallel: Calculate normal cdf in parallel

Description

Usage

Arguments