Shah,
I am the maintainer of the lhs package. Please feel free to contact
package maintainers directly for help specific to their package.
If I understood your request, this is how I would construct the lhs...
prior_lhs <- data.frame(
name = c("r_mu", "r_sd", "lmp", "gr_mu", "gr_sd", "alpha1"
t;- c(9, 11, 10, 8.9, 8, 7, 6, 5.8, 5.1, 4, 3.9, 3.7, 3.4, 3.1, 2, 1.9,
> 1.6, 1.4, 1, 0.9, 0.8, 0.7, 0.4, 0.3, 0.1)
>
> x <- seq(1, 25, by = 1)
>
> barplot(y/100, names.arg=x, ylab="Probability", xlab="Distance (km)")
>
>
>
> With this con
>May 26, 2017; 11:41am Nelly Reduan Latin Hypercube Sampling when parameters
>are >defined according to specific probability distributions
>Hello,
> I would like to perform a sensitivity analysis using a Latin Hypercube
> Sampling (LHS).
>Among the input parameters in the model, I have a paramet
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