Usage
a3.base(formula, data, model.fn, simulate.fn, n.folds = 10, data.generating.fn = replicate(ncol(x), a3.gen.default), p.acc = 0.01, features = TRUE, slope.sample = NULL, slope.displacement = 1)
Arguments
formula
the regression formula.
data
a data frame containing the data to be used in the model fit.
model.fn
function used to generate a model.
simulate.fn
function used to create the model and generate predictions.
n.folds
the number of folds used for cross-validation. Set to 0 to use Leave One Out Cross Validation.
data.generating.fn
the function used to generate stochastic noise for calculation of exact p values.
p.acc
the desired accuracy for the calculation of exact p values. The entire calculation process will be repeated $1/p.acc$ times so this can have a dramatic affect on time required. Set to NULL to disable the calculation of p values.
features
whether to calculate the average slopes, added $R^2$ and p values for each of the features in addition to the overall model.
slope.sample
if not NULL the sample size for use to calculate the average slopes (useful for very large data sets).
slope.displacement
the amount of displacement to take in calculating the slopes. May be a single number in which case the same slope is applied to all features. May also be a named vector where there is a name for each feature.