Evaluates the cumulative distribution function using the integral of its density function.

methods

The function SurvRegCens() of this package allows estimation of a Weibull Regression for a right-censored endpoint, one interval-censored covariate, and an arbitrary number of non-censored covariates. Additional functions allow to switch between different parametrizations of Weibull regression used by different R functions, inference for the mean difference of two arbitrarily censored Normal samples, and estimation of canonical parameters from censored samples for several distributional assumptions. Hubeaux, S. and Rufibach, K. (2014) <arXiv:1402.0432>.

Stanislas Hubeaux

SurvRegCensCov

Weibull Regression for a Right-Censored Endpoint with
Interval-Censored Covariate

CDF function

<dl> <dt>c</dt>
<dd>Value at which the CDF is to be evaluated.</dd> <dt>density</dt>
<dd>Density function.</dd></dl>

Arguments

Stanislas Hubeaux, <a href="/link/stan.hubeaux%40bluewin.ch?package=SurvRegCensCov&version=1.7" data-mini-rdoc="SurvRegCensCov::stan.hubeaux@bluewin.ch">stan.hubeaux@bluewin.ch</a>
Kaspar Rufibach, <a href="/link/kaspar.rufibach%40gmail.com?package=SurvRegCensCov&version=1.7" data-mini-rdoc="SurvRegCensCov::kaspar.rufibach@gmail.com">kaspar.rufibach@gmail.com</a> <a href="http://www.kasparrufibach.ch">http://www.kasparrufibach.ch</a>

Author

Cumulative distribution function — CDF

<dl>

 <dt>c</dt>
<dd>Value at which the CDF is to be evaluated.</dd>

 <dt>density</dt>
<dd>Density function.</dd>

</dl>

Stanislas Hubeaux, <a href='mailto:stan.hubeaux@bluewin.ch'>stan.hubeaux@bluewin.ch</a>
Kaspar Rufibach, <a href='mailto:kaspar.rufibach@gmail.com'>kaspar.rufibach@gmail.com</a> <a href='http://www.kasparrufibach.ch'>http://www.kasparrufibach.ch</a>

CDF: Cumulative distribution function

Description

Usage

Arguments

Author