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Latin Hypercube Sampling when parameters are defined according to specific probability distributions
2017 Jun 01
1
Latin Hypercube Sampling when parameters are defined according to specific probability distributions
...a different combination of parameter values. Then, I apply my model to each row of the data frame. But, it?s not clear for me how to do this when parameters are defined from probability distributions? In particular, how can I use your code to apply my model to each of the 50 rows of the data frame ?tabLHS?? Given that one row corresponds to one model simulation, I should have a value generated by the LHS for all distance classes at the first line of the data frame.
library(pse)
q <- list("qexp", "qunif", "qunif")
q.arg <- list(list(rate=exponential_rate), list(...
Latin Hypercube Sampling when parameters are defined according to specific probability distributions
2017 Jun 01
0
Latin Hypercube Sampling when parameters are defined according to specific probability distributions
...a different combination of parameter values. Then, I apply my model to each row of the data frame. But, it?s not clear for me how to do this when parameters are defined from probability distributions? In particular, how can I use your code to apply my model to each of the 50 rows of the data frame ?tabLHS?? Given that one row corresponds to one model simulation, I should have a value generated by the LHS for all distance classes at the first line of the data frame.
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> library(pse)
> q <- list("qexp", "qunif", "qunif")
> q.arg <- list(list(ra...