faster.reshape

Reshapes clustered long-format data to wide format efficiently using
compiled code.

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>.
Modern methods for survival analysis, including regression modelling (Cox, Fine-Gray,
Ghosh-Lin, Binomial regression) with fast computation of influence functions.

Klaus Holst

mets

Analysis of Multivariate Event Times

Klaus K. Holst

Thomas Scheike 

faster.reshape function

<dl><dt>data</dt>
<dd>a matrix or data.frame to reshape.</dd>
<dt>clusters</dt>
<dd>vector of cluster identifiers, or column name in data.</dd>
<dt>index.type</dt>
<dd>logical; if TRUE, clusters are already 0-based indices.</dd>
<dt>num</dt>
<dd>optional within-cluster numbering variable.</dd>
<dt>Rindex</dt>
<dd>if 1, use R (1-based) indexing.</dd></dl>

Arguments

Fast Reshape from Long to Wide Format — faster.reshape

<dl>

<dt>data</dt>
<dd>a matrix or data.frame to reshape.</dd>


<dt>clusters</dt>
<dd>vector of cluster identifiers, or column name in data.</dd>


<dt>index.type</dt>
<dd>logical; if TRUE, clusters are already 0-based indices.</dd>


<dt>num</dt>
<dd>optional within-cluster numbering variable.</dd>


<dt>Rindex</dt>
<dd>if 1, use R (1-based) indexing.</dd>

</dl>

faster.reshape: Fast Reshape from Long to Wide Format

Description

Usage

Value

Arguments