cdfqr.control

Control Optimization Parameters for CDF-Quantile Probability Distributions.

Employs a two-parameter family of
distributions for modelling random variables on the (0, 1) interval by
applying the cumulative distribution function (cdf) of one parent
distribution to the quantile function of another.

Yiyun Shou

cdfquantreg

Quantile Regression for Random Variables on the Unit Interval

Michael Smithson

cdfqr.control function

<dl><dt>method</dt>
<dd>Characters string specifying the method argument passed to <a href="/link/optim?package=cdfquantreg&version=1.3.1-2" data-mini-rdoc="cdfquantreg::optim">optim</a>.</dd>
<dt>maxit</dt>
<dd>Integer specifying the maxit argument (maximal number of iterations) passed to <a href="/link/optim?package=cdfquantreg&version=1.3.1-2" data-mini-rdoc="cdfquantreg::optim">optim</a>.</dd>
<dt>trace</dt>
<dd>Logical or integer controlling whether tracing information on the progress of the optimization should be produced</dd></dl>

Arguments

Control Optimization Parameters for CDF-Quantile Probability Distributions — cdfqr.control

<dl>

<dt>method</dt>
<dd>Characters string specifying the method argument passed to <a href='https://rdrr.io/r/stats/optim.html'>optim</a>.</dd>


<dt>maxit</dt>
<dd>Integer specifying the maxit argument (maximal number of iterations) passed to <a href='https://rdrr.io/r/stats/optim.html'>optim</a>.</dd>


<dt>trace</dt>
<dd>Logical or integer controlling whether tracing information on the progress of the optimization should be produced</dd>

</dl>

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cdfqr.control: Control Optimization Parameters for CDF-Quantile Probability Distributions

Description

Usage

Value

Arguments

Examples