roc_toolbox_v1.1.1
This release adds a function to check the version of the toolbox, adds some alpha code for estimating the posterior distribution of the parameter estimates, and updates the manual and tutorial 1.
Changes/Updates:
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Updated Tutorial 1 to include an example of the non-parametric bootstrap technique for estimating the standard error of the parameter estimates.
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Added the function roc_version.m to report the version of the toolbox that is currently downloaded.
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Updated the manual document to be consistent with changes that have been implemented since v1.0.0.
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Added a function to compute the likelihood value and scrip to estimate the posterior distribution of the parameter estimates to the folder in_alpha. The purpose of this is to begin developing a set of functions that can be used to flexibly define priors for parameters in models to estimate posterior distributions, as well as to potentially develop a routine for Bayesian estimation of the parameters using MCMC. Please contact us if you are interested in helping develop this.