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Ran 30 Aug 2016 06:54PM UTC

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Committed 30 Aug 2016 06:37PM UTC coverage: 96.078% (+0.004%) from 96.074%

Job # PYTHON_VERSION=3.5 MINICONDA_URL="https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh"

Build Type

push

travis-ci

Committed by

jake-westfall

Commit Message

Tweak SD(Y) in binomial models for more sensible default priors

This commit introduces an interim solution where SD(Y) is changed for
binomial/logit and binomial/probit models (for when the latter are
implemented), but there is a more general problem about how to define
default priors in a sensible way for various non-normal models. I'm about
to write an issue with some thoughts.

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Source Files on job 54.1 (PYTHON_VERSION=3.5 MINICONDA_URL="https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh")

bambinos / bambi / 54 / 1 95% master: 95%

README BADGES x

Markdown

Textile

RDoc

HTML

Rst

Source Files on job 54.1 (PYTHON_VERSION=3.5 MINICONDA_URL="https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh")

bambinos / bambi / 54 / 1
95%
master: 95%

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