Hallo, I need your help. I fitted my distribution of data with beta-prime, I need now to plot the Cumulative distribution. For other distribution like Gamma is easy:
x <- seq (0, 100, 0.5) plot(x,pgamma(x, shape, scale), type= "l", col="red") but what about beta-prime? In R it exists only pbeta which is intended only for the beta distribution (not beta-prime) This is what I used for the estimation of the parameters: mleBetaprime <- function(x,start=c(1,1)) { mle.Estim <- function(par) { shape1 <- par[1] shape2 <- par[2] BetaprimeDensity <- NULL for(i in 1:length(posT)) BetaprimeDensity[i] <- posT[i]^(shape1-1) * (1+posT[i])^(-shape1-shape2) / beta(shape1,shape2) return(-sum(log(BetaprimeDensity))) } est <- optim(fn=mle.Estim,par=start,method="Nelder-Mead") return(list(shape1=est$par[1],shape2=est$par[2])) } posbeta1par <- fdp(posT, family= "beta1") Hope you can help me. Thanks a lot!!! Ale -- View this message in context: http://www.nabble.com/Plot-cumulative-probability-of-beta-prime-distribution-tp24285301p24285301.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.