This function applies a transformation to the parameter values.
Tmatrix(original, limits)
a matrix with the same dimensions as the original
matrix but
with the parameter values transformed.
a matrix of parameter values i.e. numbers obtained from the simulations. Each column should be a different parameter and each row a different simulation. This is the matrix that you wish to transform so that the parameter values are all in the same scale.
is a matrix with two columns and as many rows as there are parameters. Each row should contain the minimum value of the prior for a given parameter in the first column and the maximum value in the second column.
The transformation should be applied before parameter estimation using an Approximate Bayesian Computation framework to ensure that the estimates do not fall outside the boundaries set by the prior distribution.