retroCI

Evaluate clones of <code>ssanova</code> or <code>gssanova</code> objects at
 arbitrary points, then obtain quantiles of the clone evaluations for
 retrospective confidence intervals.

models

regression

smooth

A comprehensive package for structural multivariate
function estimation using smoothing splines.

Chong Gu

General Smoothing Splines

retroCI function

<dl> <dt>object</dt>
<dd>Object of class <code>"clone"</code>.</dd> <dt>newdata</dt>
<dd>Data frame or model frame in which to predict.</dd> <dt>limits</dt>
<dd>To be passed to <code><a href="/link/quantile?package=gss&version=3.0-0" data-mini-rdoc="gss::quantile">quantile</a></code> for quantiles
 of clone evaluations.</dd> <dt>include</dt>
<dd>List of model terms to be included in the
	prediction. The <code>offset</code> term, if present, is to be
	specified by <code>"offset"</code>.</dd></dl>

Arguments

Calculating Retrospective Confidence Intervals using Clones of
  ssanova and gssanova Objects — retroCI

<dl>

 <dt>object</dt>
<dd>Object of class <code>"clone"</code>.</dd>

 <dt>newdata</dt>
<dd>Data frame or model frame in which to predict.</dd>

 <dt>limits</dt>
<dd>To be passed to <code><a href='https://rdrr.io/r/stats/quantile.html'>quantile</a></code> for quantiles
 of clone evaluations.</dd>

 <dt>include</dt>
<dd>List of model terms to be included in the
	prediction. The <code>offset</code> term, if present, is to be
	specified by <code>"offset"</code>.</dd>

</dl>

retroCI: Calculating Retrospective Confidence Intervals using Clones of `ssanova` and `gssanova` Objects

Description

Usage

Value

Arguments

References