From 63b6a4d11eeb1cc8519042b828cfc91106c0d582 Mon Sep 17 00:00:00 2001 From: Christoph Wehmeyer Date: Wed, 6 Apr 2016 12:39:04 +0200 Subject: [PATCH] fixed typos --- README.rst | 20 +++++++++++--------- 1 file changed, 11 insertions(+), 9 deletions(-) diff --git a/README.rst b/README.rst index 27aaadc9e..9d211b310 100644 --- a/README.rst +++ b/README.rst @@ -15,6 +15,7 @@ EMMA (Emma's Markov Model Algorithms) .. image:: https://coveralls.io/repos/markovmodel/PyEMMA/badge.svg?branch=devel :target: https://coveralls.io/r/markovmodel/PyEMMA?branch=devel + What is it? ----------- PyEMMA (EMMA = Emma's Markov Model Algorithms) is an open source @@ -25,14 +26,15 @@ of: * Clustering and Featurization * Markov state models (MSMs) * Hidden Markov models (HMMs) - * multi-ensemble Markov models (MEMMs) + * Multi-ensemble Markov models (MEMMs) * Time-lagged independent component analysis (TICA) * Transition Path Theory (TPT) -PyEMMA can be used from Jupyther (former IPython, recommended), or by +PyEMMA can be used from Jupyter (former IPython, recommended), or by writing Python scripts. The docs, can be found at `http://pyemma.org `__. + Citation -------- If you use PyEMMA in scientific work, please cite: @@ -46,17 +48,16 @@ If you use PyEMMA in scientific work, please cite: Installation ------------ With pip:: - - pip install pyemma -with conda:: + pip install pyemma - conda install -c omnia pyemma +with conda:: + conda install -c omnia pyemma or install latest devel branch with pip:: - pip install git+https://github.com/markovmodel/PyEMMA.git@devel + pip install git+https://github.com/markovmodel/PyEMMA.git@devel For a complete guide to installation, please have a look at the version `online `__ or offline in file @@ -70,9 +71,10 @@ Then build with make:: cd doc; make html + Support and development ----------------------- -For bug reports/sugguestions/complains please file an issue on +For bug reports/suggestions/complaints please file an issue on `GitHub `__. Or start a discussion on our mailing list: pyemma-users@lists.fu-berlin.de @@ -83,4 +85,4 @@ External Libraries * mdtraj (LGPLv3): https://mdtraj.org * bhmm (LGPLv3): http://github.com/bhmm/bhmm * msmtools (LGLPv3): http://github.com/markovmodel/msmtools - +* thermotools (LGLPv3): http://github.com/markovmodel/thermotools