Value at which the CDF is to be evaluated.

density

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=1.5" 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=1.5" 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