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Finds the posterior modes for the mean and standard deviation for a truncated normal distribution with one or two known truncation points. The method used extends Bayesian methods for parameter estimation for a singly truncated normal distribution under the Jeffreys prior (see Zhou X, Giacometti R, Fabozzi FJ, Tucker AH (2014). "Bayesian estimation of truncated data with applications to operational risk measurement". doi:10.1080/14697688.2012.752103). This package additionally allows for a doubly truncated normal distribution.
github.com/mathurlabstanford/truncnormbayes | |
mathurlabstanford.github.io/truncnormbayes/ | |
System requirements | GNU make |
Bug report | File report |
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