predict.biglasso  R Documentation 
biglasso
objectExtract predictions (fitted reponse, coefficients, etc.) from a
fitted biglasso
object.
## S3 method for class 'biglasso' predict( object, X, row.idx = 1:nrow(X), type = c("link", "response", "class", "coefficients", "vars", "nvars"), lambda, which = 1:length(object$lambda), ... ) ## S3 method for class 'mbiglasso' predict( object, X, row.idx = 1:nrow(X), type = c("link", "response", "coefficients", "vars", "nvars"), lambda, which = 1:length(object$lambda), k = 1, ... ) ## S3 method for class 'biglasso' coef(object, lambda, which = 1:length(object$lambda), drop = TRUE, ...) ## S3 method for class 'mbiglasso' coef(object, lambda, which = 1:length(object$lambda), intercept = TRUE, ...)
object 
A fitted 
X 
Matrix of values at which predictions are to be made. It must be a

row.idx 
Similar to that in 
type 
Type of prediction: 
lambda 
Values of the regularization parameter 
which 
Indices of the penalty parameter 
... 
Not used. 
k 
Index of the response to predict in multiple responses regression (

drop 
If coefficients for a single value of 
intercept 
Whether the intercept should be included in the returned
coefficients. For 
The object returned depends on type
.
Yaohui Zeng and Patrick Breheny
Maintainer: Yaohui Zeng <yaohui.zeng@gmail.com>
biglasso
, cv.biglasso
## Logistic regression data(colon) X < colon$X y < colon$y X.bm < as.big.matrix(X, backingfile = "") fit < biglasso(X.bm, y, penalty = 'lasso', family = "binomial") coef < coef(fit, lambda=0.05, drop = TRUE) coef[which(coef != 0)] predict(fit, X.bm, type="link", lambda=0.05)[1:10] predict(fit, X.bm, type="response", lambda=0.05)[1:10] predict(fit, X.bm, type="class", lambda=0.1)[1:10] predict(fit, type="vars", lambda=c(0.05, 0.1)) predict(fit, type="nvars", lambda=c(0.05, 0.1))
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