Implementation of various statistical models for multivariate
event history data <doi:10.1007/s10985-013-9244-x>. Including multivariate
cumulative incidence models <doi:10.1002/sim.6016>, and  bivariate random
effects probit models (Liability models) <doi:10.1016/j.csda.2015.01.014>.
Also contains two-stage binomial modelling that can do pairwise odds-ratio
dependence modelling based marginal logistic regression models. This is an
alternative to the alternating logistic regression approach (ALR).

Analysis of Multivariate Event Times

package-ubuntu-20.04-r-4.0.5#cran#mets-1.2.8.1

LinSpline(x, knots, num = TRUE, name = "Spline")

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>variable to make into spline</p>
</td>
</tr>
<tr valign="top">
<td><code>knots</code></td>
<td>
<p>cut points</p>
</td>
</tr>
<tr valign="top">
<td><code>num</code></td>
<td>
<p>to give names x1 x2 and so forth</p>
</td>
</tr>
<tr valign="top">
<td><code>name</code></td>
<td>
<p>name of spline expansion name.1 name.2 and so forth</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#mets-1.2.8.1#docs#LinSpline

LinSpline

Description

Usage

Arguments

Author(s)

mets

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`x`	variable to make into spline
`knots`	cut points
`num`	to give names x1 x2 and so forth
`name`	name of spline expansion name.1 name.2 and so forth