robust.scores {EMMAgeo}  R Documentation 
This function takes a list object with statistics of endmember loadings and propagates these uncertainties to endmember scores using Monte Carlo methods.
robust.scores(loadings, l, mc_n, cores = 1, plot = FALSE, ...)
loadings 

l 

mc_n 

cores 

plot 

... 
Additional arguments passed to 
List
with statistic descriptions of robust endmember
scores.
Michael Dietze, Elisabeth Dietze
## load example data set, potential endmembers, output of model.EM()
data(example_EMpot)
## define limits for robust endmembers
limits < cbind(c(61, 74, 95, 102),
c(64, 76, 100, 105))
## get robust endmember loadings
robust_loadings < robust.loadings(em = EMpot, limits = limits)
## model endmember scores uncertainties with minimum Monte Carlo runs
robust_scores < robust.scores(loadings = robust_loadings,
mc_n = 5,
plot = TRUE)