Posts Tagged ‘ models ’

Divide or Mix. Flexible Approaches to Data Analysis

September 19, 2012

A very interesting paradigm in data analysis comes from the necessity to model data where it is difficult to think of a single global function to be capable to represent adequately the data. We could see a spectrum of models … Continue reading →

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Montreal R Workshop: Introduction to Bayesian Methods

March 22, 2012
Montreal R Workshop: Introduction to Bayesian Methods

Monday, March 26, 2012  14h-16h, Stewart Biology N4/17 Corey Chivers, Department of Biology McGill University This is a meetup of the Montreal R User Group. Be sure to join the group and RSVP. More information about the workshop here. Topics Why would we want to be Bayesian in the first place?  In this workshop we

Read more » A user-friendly way to conduct empirical research together

June 6, 2011

(A guest post by Camiel de Koning) ————– When trying to replicate, verify or extend empirical research of others, a researcher generally encounters many time-consuming barriers and there are often many prerequisites. Fittestmodel has the objective to overcome many of these problems, by presenting a webapplication that allows users to: use but not having to install R. quickly incorporate...

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Mango solutions

plotly webpage

dominolab webpage

Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training




CRC R books series

Six Sigma Online Training

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