From 8bf3b6a4f82c30832a0c4e212837758e9864ed1c Mon Sep 17 00:00:00 2001 From: Peter Hurck Date: Wed, 6 Sep 2023 14:52:08 +0100 Subject: [PATCH] Update sim_fit.rst add mcmc to documentation --- docs/source/references/sim_fit.rst | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/docs/source/references/sim_fit.rst b/docs/source/references/sim_fit.rst index 84941c54..05b4c5d1 100644 --- a/docs/source/references/sim_fit.rst +++ b/docs/source/references/sim_fit.rst @@ -104,7 +104,8 @@ Fitting PyPWA supplies a single wrapper around iMinuit's module. This is a convenience function to make working with Minuit's parameters easier. However, if wanting to use a different fitting function, like Scikit or -Scipy, the likelihoods should work natively with them. +Scipy, the likelihoods should work natively with them. In addition, +PyPWA also supplies a wrapper around the MCMC package emcee. Most optimizers built in Python assume the data is some sort of global variable, and the function passed to them is just accepting parameters @@ -118,3 +119,5 @@ they're expecting a function or callable object, and as long as the parameters they pass are pickle-able. .. autofunction:: PyPWA.minuit + +.. autofunction:: PyPWA.mcmc