Set or get options for FCnet

optionsFCnet(...)

Arguments

family	Defaults to "gaussian." Experimental support for "binomial" on the way.
cv.type.measure	The measure to minimize in crossvalidation inner loops. The deafult is the mean squared error.
cv.criterion	Whether crossvalidated models are chosen on the basis of their error or - relevant when different number of components are compared - AIC or BIC criteria.
intercept	whether to fit (TRUE) or not (FALSE) an intercept to the model. Useful if y is not scaled and centered.
standardize	Whether x must be standardized internally to `glmnet::glmnet()`.
whichLambda	During crossvalidation, either selects "lambda.min" - which chooses the value of lambda which best minimizes the mean crossvalidation error - or "lambda.1se" - which "which gives the most regularized model such that error is within one standard error of the minimum". The latter would be preferable for stability.
thresh	Threshold for glmnet to stop converging to the solution. This parameter can be adapted (e.g. for speed / accuracy tradeoff).
consensus_function	which function is used to create consensus between coefficients from different models.
nested	Whether crossvalidation is to be performed in a nested fashion.
colorPaletteDefault	The default color palette for plotting matrices (a vector of colors).
colorNuances	Number of nuances along the provided colorPalette.