MixSIR

Project information

Project members
brice.semmens eric.ward jmoore

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Description

MixSIR is a Bayesian isotope mixing model that incorporates uncertainty in the estimates of mix and source isotope values. The model also provides the opportunity to incorporate prior information for the proportional contribution of each source to the mix. The programs for this project are written in Matlab. I have provided the source files as well as an .exe file package so that those without Matlab can run the program. Collaborations and improvements are welcome! Prior to installing MixSIR you MUST download the (free) Matlab component runtime library and run it once on your machine. Note also that installing new versions of MixSIR will require a new download and installation of the component runtime library.

 

***** NOT WORKING ON YOUR NEW 64 BIT MACHINE?? *****

-- You need to install this:

http://www.microsoft.com/en-us/download/details.aspx?id=5638

you're runnning a 32-bit compiled Matlab app on a 64-bit Windows machine, and it's not finding the 32-bit Visual C++ runtime it's linked against.  The Microsoft software "Microsoft Visual C++ 2005 SP1 Redistributable Package (x86)" will fix the problem. Cut and paste the link above to get the software fix!

 



Files

MixSIR / priors_from_gut_contents /
  • Download contents of MixSIR/priors_from_gut_contents as zip archive Download
Name Status Rev Size Updated Downloads Brief Description Actions
Go to parent folder Parent directory - - - - - - -
Item is folder constrained_fits
Stable
- 3 items 12/13/2007 17:14 PST 1029 94 d
These scripts provide Matlab code to bootstrap gut content data and fit beta distribs for use as priors in MixSIR
dirichlet_constrained.m
In development
1 5.2 KB 12/04/2007 11:38 PST 103 103 f
Constraining Dirichlet distrib to params greater than 1 (ensures good model function). Still making this work.
dirichlet_fit.m
Stable
1 1.3 KB 03/22/2008 18:58 PDT 260 260 f
need this to fit the Dirichlet boot strap routines above.
dirichlet_logProb.m
Caution
1 787 B 12/04/2007 11:37 PST 234 234 f
(none)
gut_resamp250tomax_dirichlet.m
Stable
1 8 KB 12/04/2007 11:38 PST 321 321 f
This is an example of how to fit Dirchlet distribution to gut content data. Dirchlet is a multinomial beta distribution, and is easily back transformed (generalized) to beta distributions for use as priors.

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