FeaturesΒΆ

Currently, avant only contains priors for the following five parameters for DMPC: head volume, tail volume, head thickness, tail thickness and roughness. It can create an informed prior, Gauss, with the following methods:

  • pdf: probability distribution function

  • logpdf: natural log of the probability distribution function

  • cdf: cumulative distribution function

  • ppf: percentile point function (also known as quantile function or inverse cdf)

  • rvs: random variate sampling

It can also create a uniform prior which is an upper and lower bound for the prior range.

The following plotting functionalities are available:

  • plotGauss(name): Plot an informed Gauss prior probability distribution.

  • plotUniform(name): Plot a uniform prior probability distribution.