mlorm {bda} | R Documentation |
Density, distribution function, quantile function and random generation for the lognormal mixture distribution with means equal to 'mu' and standard deviations equal to 's'.
dmlnorm(x,p,mean,sd) pmlnorm(q,p,mean,sd) qmlnorm(prob,p,mean,sd) rmlnorm(n,p,mean,sd)
x,q |
vector of quantiles in dmixnorm and pmixnorm. In qmixnorm, 'x' is a vector of probabilities. |
p |
proportions of the mixture components. |
prob |
A vector of probabilities. |
n |
number of observations. If 'length(n) > 1', the length is taken to be the number required. |
mean |
vector of means |
sd |
vector of standard deviations |
return the density, probability, quantile and random value for the four functions, respectively.
p <- c(.4,.6) mu <- c(1,4) s <- c(2,3) dmlnorm(c(0,1,2,20),p,mu,s) pmlnorm(c(0,1,2,20),p,mu,s) qmlnorm(c(0,1,.2,.20),p,mu,s) rmlnorm(3,p,mu,s)