summ_quantile

Essentially, this is a more strict wrapper of <code>as_q(f)(probs)</code>. If any value
in <code>probs</code> is outside of segment \[0; 1\], an error is thrown.

Create, transform, and summarize custom random
variables with distribution functions (analogues of 'p*()', 'd*()',
'q*()', and 'r*()' functions from base R). Two types of distributions
are supported: "discrete" (random variable has finite number of output
values) and "continuous" (infinite number of values in the form of
continuous random variable). Functions for distribution
transformations and summaries are available. Implemented approaches
often emphasize approximate and numerical solutions: all distributions
assume finite support and finite values of density function; some
methods implemented with simulation techniques.

Evgeni Chasnovski

pdqr

Work with Custom Distribution Functions

summ_quantile function

<dl><dt>f</dt>
<dd>A pdqr-function representing distribution.</dd>
<dt>probs</dt>
<dd>Vector of probabilities for which quantiles should be returned.</dd></dl>

Arguments

Summarize distribution with quantiles — summ_quantile

<dl>

<dt>f</dt>
<dd>A pdqr-function representing distribution.</dd>


<dt>probs</dt>
<dd>Vector of probabilities for which quantiles should be returned.</dd>

</dl>

summ_quantile: Summarize distribution with quantiles

Description

Usage

Value

Arguments

See Also

Examples