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.