This page lists the arguments for the (internal) "palasso" function(s).
y |
response: vector of length n |
X |
covariates: list of matrices, each with n rows (samples) and p columns (variables) |
max |
maximum number of non-zero coefficients:
positive numeric, or |
... |
further arguments for |
x |
covariates: matrix with n rows (samples) and k * p columns (variables) |
args |
options for paired lasso: list of arguments (output from .dims and .args) |
nfolds |
number of folds: positive integer (>= 10 recommended) |
foldid |
fold identifiers:
vector of length n,
with entries from 1 to |
cor |
correlation coefficients: list of k vectors of length p (one vector for each covariate set with one entry for each covariate) |
lambda |
lambda sequence: vector of decreasing positive values |
family |
model family: character "gaussian", "binomial", "poisson", or "cox" |
type.measure |
... loss function: character "deviance", "mse", "mae", "class", or "auc" |
fit |
matrix with one row for each sample
("gaussian", "binomial" and "poisson"),
or one row for each fold (only "cox"),
and one column for each |
cvm |
mean cross-validated loss:
vector of same length as |
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