DV: implements the De Vielder approximation
In rhosp: Side Effect Risks in Hospital : Simulation and Estimation

Description Usage Arguments Value Author(s) Examples

DV computes the De Vielder approximation whose goal is to identify the first two moments of a general case of the first model where p(x) is unknown to the first two moments of the specific case of the first model where p(x) = 1- exp(-mu *x)

DV(T)

`T`	a vector of the observations of the random variable T associated with the first model

a vector of lambda and mu of the De Vielder method

Christophe Dutang and Julie Barthes

T<-c(12.9622796,  1.4146460,  1.3146761, 14.9147353,  7.5131105,  
8.5130874, 6.5943351, 10.6954653, 14.1000977, 12.4673316,  2.7185478,  
9.6297777, 10.0930441,  0.6270543, 26.7937074,  7.6082447)
res<-DV(T)