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        "author": "Angus Williams",
        "author_email": "anguswilliams91@gmail.com",
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        "description": "# decentralise\n[![Build Status](https://travis-ci.org/anguswilliams91/decentralise.svg?branch=master)](https://travis-ci.org/anguswilliams91/decentralise)\n[![codecov](https://codecov.io/gh/anguswilliams91/decentralise/branch/master/graph/badge.svg)](https://codecov.io/gh/anguswilliams91/decentralise)\n\n\n\nMake (some) Stan programs non-centered automatically.\n\nInspired by reading [this paper](https://arxiv.org/abs/1906.03028).\n\n## Installation\n\nRequires python 3.6+.\nInstall with `pip`:\n\n```bash\npip install decentralise\n```\n\n## Example\n\nThis package provides a command line tool: `decentralise`, which is used as follows:\n\n```bash\ndecentralise <input-file> <output-destination>\n```\n\nIt will take any normally distributed parameters that have variances that are themselves parameters, and reparameterise them to make them non-centered.\nFor example, the canonical eight schools code is:\n\n```\ndata {\n  int<lower=0> J; // number of schools\n  vector[J] y; // estimated treatment effects\n  vector<lower=0>[J] sigma; // s.e. of effect estimates\n}\nparameters {\n  real mu;\n  real<lower=0> tau;\n  vector[J] theta;\n}\nmodel {\n  theta ~ normal(mu, tau);\n  y ~ normal(theta, sigma);\n}\n```\n\nOnce `decentralise` is applied, this program becomes\n\n```\ndata {\n  int<lower=0> J; // number of schools\n  vector[J] y; // estimated treatment effects\n  vector<lower=0>[J] sigma; // s.e. of effect estimates\n}\nparameters {\n  real mu;\n  real<lower=0> tau;\n  vector[J] theta_std;\n}\ntransformed parameters {\n  vector[J] theta = mu + theta_std * tau;\n}\nmodel {\n  theta_std ~ normal(0, 1);\n  y ~ normal(theta, sigma);\n}\n```\n\nI wrote this tool for fun, and have not thoroughly tested it.\nFor example, it will fail for any parameters whose sampling statements are not vectorised.\ne.g.:\n```\nx ~ normal(mu, tau);\n```\nwill work, but \n```\nfor i in (1:n) {\n    x[i] ~ normal(mu, tau);\n}\n```\nwill not.\nThere are probably a ton of other cases where it will break that I have not anticipated, as well!\n\n\n",
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