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Ran 02 Sep 2016 06:12PM UTC

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Committed 02 Sep 2016 05:53PM UTC coverage: 94.832%. Remained the same

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

Slight tweak to GLMM example in README

I think this example makes more sense with random intercepts for schools
instead of random intercepts for students. This way, each row is a student.
The problem with the earlier setup (where each row must be something like a
class that student took) is that each student presumably has a single value
for 'graduate', so all of the student effects would be either Inf (if the
student graduated) or -Inf (if the student didnt' graduate). This reflects a
more general issue with fitting GLMMs when the outcome varies at "level 2."

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Source Files on job 64.1 (PYTHON_VERSION=3.5 MINICONDA_URL="https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh")

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README BADGES x

Markdown

Textile

RDoc

HTML

Rst

Source Files on job 64.1 (PYTHON_VERSION=3.5 MINICONDA_URL="https://repo.continuum.io/miniconda/Miniconda-latest-Linux-x86_64.sh")

bambinos / bambi / 64 / 1
95%
master: 95%

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