SPR MCMC

A windows executable for running the Bayesian inference on SPR data.

Brought to you by: ffeng23

Add a Review

Downloads: 0 This Week

Last Update: 2015-03-31

Download

Get an email when there's a new version of SPR MCMC

A windows executable (C# application) to run the Bayesian inference to estimate the affinity kinetics as well as the active concentration on the SPR (surface plasmon resonance) data.

Project Samples

Project Activity

See All Activity >

Follow SPR MCMC

SPR MCMC Web Site

Other Useful Business Software

Level Up Your Cyber Defense with External Threat Management

See every risk before it hits. From exposed data to dark web chatter. All in one unified view.

Move beyond alerts. Gain full visibility, context, and control over your external attack surface to stay ahead of every threat.

Try for Free

Rate This Project

User Reviews

Be the first to post a review of SPR MCMC!

Additional Project Details

Registered

2014-12-24

Report inappropriate content

Recommended Projects

Meridian
Meridian is a comprehensive, open source marketing mix modeling (MMM) framework developed by Google to help advertisers analyze and optimize the impact of their marketing investments. Built on Bayesian causal inference principles, Meridian enables organizations to evaluate how different...
Hotstop
Hotstop is scientific software that allows to extract experimental ion stopping force curves from RBS spectra (as well as to stimate uncertainities) It uses Simulated Annealing and Bayesian Inference algorithms.
WinAFC
Systray application that manages affinity and priority settings of Windows programs based on user defined profiles. Affinity profiles may specify either physical CPUs or logical CPU identifiers that expose eventual asymmetries in the system.
RStan
RStan is the R interface to Stan, a C++ library for statistical modeling and high-performance statistical computation. It lets users specify models in the Stan modeling language (for Bayesian inference), compile them, and perform inference from R. Key inference approaches include full Bayesian...
CausalImpact
The CausalImpact repository houses an R package that implements causal inference in time series using Bayesian structural time series models. Its goal is to estimate the effect of an intervention (e.g. a marketing campaign, policy change) on a time series outcome by predicting what would have...