Monday, March 19, 2012 14h-16h, Stewart Biology N4/17
The concepts of using maximum likelihood to fit model parameters, and model comparison using information theoretic approaches will also be covered.
The workshop will explore these topics through worked examples and exercises using the R statistical computing environment.
This is the first official meetup of the Montreal R User Group. Be sure to join the group and RSVP.
The participant will:
1) Formalize the evidence about hypotheses that is contained in data through the likelihood function.
2) Fit model parameters using maximum likelihood estimation (MLE).
3) Extend MLE to compare between competing models using information theory (AIC).
The goal of this workshop is to demystify these potentially 'scary' topics, and empower participants (of any preexisting knowledge level) to engage in statistical reasoning when conducting their own research. So come one, come all!
That being said, a basic working understanding of R is assumed. Knowledge of functions and loops in R will be advantageous, but not a must.