amend the last commit and recommit

add all the notebooks that I forgot to add to the repo before :-)

add jupyter playgrounds, mostly empty :D

add some final plots

add data and figs for ccn2019

cleanups

add more intersting formulas.

refactor analysis into a single ccn2019 notebook.

refact ccn2019/

enet and feature selection

recursive feature elimination with caret

model-free variable importance

Fix caret tuning, and plot var importance

fix VL bug, and use lag to shift local variables so for every trial we only consider previous local params.

fix param

remove current trial from local stat calculations.

reactor, and add plots

a new glmnet (lasso and ridge) and pls analysis with dummy vars for stimulus, stimulus_type, and N.

init a new dummy var analysis for ccn2019

Update correctness prediction

imbalanced sampling

basic diagram for predicted-actual of accuracy

pls and RMSE for accuracy

refactor modeling "correct" to another script

a new chunk to mark and remove highly correlated predictors for glm, etc

rewrite splitting into train/test so both will be a representative samples of the original "correct" ratio

comments and PLS VarImp diagrams

add variable importance for RT and accuracy

add PLS model for RT

plot PLS model output