rpwe

This will generate random numbers according to the specified piecewise exponential distribution

random number generator

piecewise exponential

Calculates various functions needed for design and monitoring survival trials
accounting for complex situations such as delayed treatment effect, treatment crossover, non-uniform accrual,
and different censoring distributions between groups. The event time distribution is assumed to be
piecewise exponential (PWE) distribution and the entry time is assumed to be piecewise uniform distribution.
As compared with Version 1.2.1, two more types of hybrid crossover are added.
A bug is corrected in the function "pwecx" that calculates the crossover-adjusted survival, distribution,
density, hazard and cumulative hazard functions.
Also, to generate the crossover-adjusted event time random variable,  a more efficient
algorithm is used and the output includes crossover indicators.

Xiaodong Luo

PWEALL

Design and Monitoring of Survival Trials Accounting for Complex
Situations

Xuezhou Mao

Xun Chen

Hui Quan

Sanofi 

rpwe function

<dl> <dt>nr</dt>
<dd>number of random numbers to be generated</dd> <dt>rate</dt>
<dd>piecewise constant event rate</dd> <dt>tchange</dt>
<dd>a strictly increasing sequence of time points starting from zero at which event rate changes. The first element of tchange must be zero. rate and tchange must have the same length.</dd></dl>

Arguments

Author

Piecewise exponential distribution: random number generation — rpwe

<dl>

 <dt>nr</dt>
<dd>number of random numbers to be generated</dd>

 <dt>rate</dt>
<dd>piecewise constant event rate</dd>

 <dt>tchange</dt>
<dd>a strictly increasing sequence of time points starting from zero at which event rate changes. The first element of tchange must be zero. rate and tchange must have the same length.</dd>

</dl>

rpwe: Piecewise exponential distribution: random number generation

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples