refund-package

refund

<p>Methods for regression with functional data. Various approaches to regression with scalar responses and functional predictors are implemented by <code><a rd-options="" href="/link/pfr?package=refund&version=0.1-16" data-mini-rdoc="refund::pfr">pfr</a></code>, <code><a rd-options="" href="/link/peer?package=refund&version=0.1-16" data-mini-rdoc="refund::peer">peer</a></code>, <code><a rd-options="" href="/link/lpeer?package=refund&version=0.1-16" data-mini-rdoc="refund::lpeer">lpeer</a></code> and <code><a rd-options="" href="/link/fpcr?package=refund&version=0.1-16" data-mini-rdoc="refund::fpcr">fpcr</a></code>. For regression with functional responses, see <code><a rd-options="" href="/link/pffr?package=refund&version=0.1-16" data-mini-rdoc="refund::pffr">pffr</a></code>, <code><a rd-options="" href="/link/fosr?package=refund&version=0.1-16" data-mini-rdoc="refund::fosr">fosr</a></code>, and <code><a rd-options="" href="/link/fosr2s?package=refund&version=0.1-16" data-mini-rdoc="refund::fosr2s">fosr2s</a></code>.</p>

 package

Methods for regression for functional
data, including function-on-scalar, scalar-on-function, and
function-on-function regression. Some of the functions are applicable to
image data.

Lei Huang

Regression with Functional Data

refund-package function

<p>Methods for regression with functional data. Various approaches to regression with scalar responses and functional predictors are implemented by <code><a rd-options='' href='pfr'>pfr</a></code>, <code><a rd-options='' href='peer'>peer</a></code>, <code><a rd-options='' href='lpeer'>lpeer</a></code> and <code><a rd-options='' href='fpcr'>fpcr</a></code>. For regression with functional responses, see <code><a rd-options='' href='pffr'>pffr</a></code>, <code><a rd-options='' href='fosr'>fosr</a></code>, and <code><a rd-options='' href='fosr2s'>fosr2s</a></code>.</p>

refund-package: Regression with Functional Data

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