11 мар. 2024 г. · The pexp() function returns the corresponding values of the exponential cumulative distribution function for an input vector of quantiles.

dexp gives the density, pexp gives the distribution function, qexp gives the quantile function, and rexp generates random deviates. The length of the result is ...

pexp: Exponential distribution with piecewise-constant rate. Description. Density, distribution function, quantile function and random generation for a ...

The exponential distribution is a continuous probability distribution used to model the time or space between events in a Poisson process.

17 янв. 2019 г. · R function pexp(q, rate, lower.tail) is the cumulative probability ( lower.tail = TRUE for left tail, lower.tail = FALSE for right tail) ...

R/pexp.R. In msm: Multi-State Markov and Hidden Markov Models in Continuous Time · Defines functions rpexp ppexp · Documented in ppexp rpexp.

dexp(x, r)—Returns the probability density for value x ; pexp(x, r)—Returns the cumulative probability distribution for value x ; qexp(p, r)—Returns the inverse ...

PExp: Probability function, distribution function, quantile function and random generation for the Piecewise Exponential (PE) distribution.

pexp {msm}, R Documentation. Exponential distribution with piecewise-constant rate. Description. Density, distribution function, quantile function and random ...

Definition. The `pexp` function in R is used to compute the cumulative distribution function (CDF) of the exponential distribution.