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		#		2021-10-15 (Version 1.02.5 published)
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--- Replaced "Mean_Se" and "Mean_Sp" by "Summary_Se" and "Summary_Sp" in the SROC_rjags function
    to keep notation aligned with the upcoming COchrane DTA handbook.
--- Added new features to the Forest function:
     - summary argument (formerly mean) now supports multiple summary point estimates coming from different models.
     - summary_label argument allows to name the summary point estimates.
     - Argument "col.headers" added in order to change the headers of the forest plot columns.
     - study.cex argument now allows control over the study label font size.
     - summary.cex argument manages the fontsize of summary_label.

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		#		2021-03-11 (Version 1.02.4 published)
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--- Fixed a bug that caused the prediction region to appear narrower than it should have been

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		#		2021-01-05 (Version 1.02.2 not published)
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--- Added arguments to control the range of the x- and y-axis
--- Added argument for the creation of summary points
--- Fixed issues and implemented suggestions of CRAN team from previous sumbission
--- Added output from Bayesian bivariate model as a data in order to provide
    a running example for function SROC_jags
--- Added dataset in order to provide a running example for function Forest
--- Removed SROC_BUGS function


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		#		2020-06-02 (Version 1.02 not published)
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--- Added new features to SROC_rjags, consisting mainly on new arguments to the function to enable more control.
    Also fixed a small bug in SROC_rjags function

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		#		2019-09-17 (Version 1.01 not published)
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		#===================================================

--- Added SROC_BUGS function to create summary/SROC plots from BUGS coda output


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		#		2019-07-31 (version 1.0 not published)
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--- Initial release including the Forest and SROC_rjags functions