Results extracted from REBMIX for the gamma family are much larger than expected

I am facing a problem, that the results extracted from REBMIX for the gamma family are much larger than expected

This is the R code:

library(mixR)

set.seed(513)

to_shape_rate_gamma(500,700)

to_shape_rate_gamma(2000,700)

myMix500_2 <- rmixgamma(500, c(0.8, 0.2), c(500,2000), c(700,3500))

gamma_2_em = mixfit(myMix500_2, ncomp = 2, family =  "gamma",pi = c(0.3, 0.7), mu = c(400,1500), sd = c(500,1200), tol = 1e-04,max_iter = 500)

gamma_2_em

library(rebmix)

myMix500_2=as.data.frame(myMix500_2)

gamma500est<- REBMIX(Dataset = list(myMix500_2= myMix500_2),
                    Preprocessing = "histogram",
                    cmax = 2,cmin = 2, Criterion = "BIC",
                    pdf = "gamma")

summary(gamma500est)

print(gamma500est)

try a larger number of samples, the smaller the sample the harder it is to decide on what mix generated it

rmixgamma(500,

try

rmixgamma(10000,

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