Bayesian Inference for Image Boundaries

Provides tools for carrying out a Bayesian analysis of image boundaries. Functions are provided for both binary (Bernoulli) and continuous (Gaussian) images. Examples, along with an interactive shiny function illustrate how to perform simulations, analyze custom data, and plot estimates and credible intervals.


Reference manual

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1.2 by Nicholas Syring, 2 years ago

Browse source code at

Authors: Nicholas Syring , Meng Li

Documentation:   PDF Manual  

GPL (>= 3) license

Imports Rcpp, shiny, mritc, png, jpeg

Linking to Rcpp, RcppArmadillo

See at CRAN