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Day 1: Univariate models and data simulation
solo exercise: "catch" a univariate distribution
what phenomenon will you measure. What distribution might it be?
simuate the data
collect it
plot it. Does it look like what you expect?
Day 2: Linear regression
Is linear regression useful for one of your current/past/future projects? Why?
We looked at the effect of a nonadditive effect of a factor. How do we model an interaction? ie extend the code to do that.
what would need to change to make this work for a continous factor?
Day 3: Random effects
simulate data using random effects. How wide is too wide for a prior on a hyperparameter?
The text was updated successfully, but these errors were encountered:
Day 1: Univariate models and data simulation
solo exercise: "catch" a univariate distribution
Day 2: Linear regression
We looked at the effect of a nonadditive effect of a factor. How do we model an interaction? ie extend the code to do that.
Day 3: Random effects
The text was updated successfully, but these errors were encountered: