invfunc

This function is used to get the inverse of a monotonic function on (0,1), depending on parameters, and using the bisection method

Estimation of 2-level factor copula-based regression models  for clustered data where the response variable can be either discrete or continuous.

Bruno Remillard

CopulaGAMM

Copula-Based Mixed Regression Models

Pavel Krupskii

invfunc function

<dl><dt>q</dt>
<dd>Function value (can be a vector if func() supports a vector argument)</dd>
<dt>func</dt>
<dd>Function of one argument to be inverted</dd>
<dt>th</dt>
<dd>Function parameters</dd>
<dt>lb</dt>
<dd>Lower bound for the possible values</dd>
<dt>ub</dt>
<dd>Upper bound for the possible values</dd>
<dt>tol</dt>
<dd>Tolerance for the inversion</dd>
<dt>nbreak</dt>
<dd>Maximum number of iterations (default is 40)</dd></dl>

Arguments

Author

Inverse function — invfunc

<dl>

<dt>q</dt>
<dd>Function value (can be a vector if func() supports a vector argument)</dd>


<dt>func</dt>
<dd>Function of one argument to be inverted</dd>


<dt>th</dt>
<dd>Function parameters</dd>


<dt>lb</dt>
<dd>Lower bound for the possible values</dd>


<dt>ub</dt>
<dd>Upper bound for the possible values</dd>


<dt>tol</dt>
<dd>Tolerance for the inversion</dd>


<dt>nbreak</dt>
<dd>Maximum number of iterations (default is 40)</dd>

</dl>

Last chance! 50% off unlimited learning

invfunc: Inverse function

Description

Usage

Value

Arguments

Author