lsplineDS

This function is based on the native R function <code>lspline</code> from the
<code>lspline</code> package. This function computes the basis of piecewise-linear spline
such that, depending on the argument marginal, the coefficients can be interpreted as
(1) slopes of consecutive spline segments, or (2) slope change at consecutive knots.

Base 'DataSHIELD' functions for the server side. 'DataSHIELD' is a software package which allows
you to do non-disclosive federated analysis on sensitive data. 'DataSHIELD' analytic functions have
been designed to only share non disclosive summary statistics, with built in automated output
checking based on statistical disclosure control. With data sites setting the threshold values for
the automated output checks. For more details, see 'citation("dsBase")'.

Stuart Wheater

dsBase

'DataSHIELD' Server Site Base Functions

Paul Burton

Rebecca Wilson

Olly Butters

Patricia Ryser-Welch

Alex Westerberg

Leire Abarrategui

Roberto Villegas-Diaz

Demetris Avraam

Yannick Marcon

lsplineDS function

<dl><dt>x</dt>
<dd>the name of the input numeric variable</dd>
<dt>knots</dt>
<dd>numeric vector of knot positions</dd>
<dt>marginal</dt>
<dd>logical, how to parametrize the spline, see Details</dd>
<dt>names, </dt>
<dd>character, vector of names for constructed variables</dd></dl>

Arguments

Demetris Avraam for DataSHIELD Development Team

Author

Basis for a piecewise linear spline with meaningful coefficients — lsplineDS

<dl>

<dt>x</dt>
<dd>the name of the input numeric variable</dd>


<dt>knots</dt>
<dd>numeric vector of knot positions</dd>


<dt>marginal</dt>
<dd>logical, how to parametrize the spline, see Details</dd>


<dt>names, </dt>
<dd>character, vector of names for constructed variables</dd>

</dl>

lsplineDS: Basis for a piecewise linear spline with meaningful coefficients

Description

Usage

Value

Arguments

Author

Details