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Internal biglasso functions
● Data Source:
CranContrib
● Keywords: internal
● Alias: loss, setupLambda
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predict.biglasso
(Package: biglasso) :
Model predictions based on a fitted "biglasso" object.
Extract predictions (fitted reponse, coefficients, etc.) from a fitted biglasso object.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: coef.biglasso, predict.biglasso
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cv.biglasso
(Package: biglasso) :
Cross-validation for biglasso
Perform k-fold cross validation for penalized regression models over a grid of values for the regularization parameter lambda.
● Data Source:
CranContrib
● Keywords:
● Alias: cv.biglasso
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predict.cv.biglasso
(Package: biglasso) :
Model predictions based on a fitted "cv.biglasso" object.
Extract predictions from a fitted cv.biglasso object.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: coef.cv.biglasso, predict.cv.biglasso
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biglasso-package
(Package: biglasso) :
Big Lasso: Extending Lasso Model Fitting to Big Data in R
Extend lasso and elastic-net model fitting for ultrahigh-dimensional, multi-gigabyte data sets that cannot be loaded into memory. This package utilizes memory-mapped files to store the massive data on the disk and only read those into memory whenever necessary during model fitting. Compared to existing lasso-fitting packages such as glmnet and ncvreg, it preserves equivalently fast computation speed but is much more memory-efficient, thus allowing for very powerful big data analysis even with only a single laptop.
● Data Source:
CranContrib
● Keywords: package
● Alias: biglasso-package
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plot.cv.biglasso
(Package: biglasso) :
Plots the cross-validation curve from a "cv.biglasso" object
Plot the cross-validation curve from a cv.biglasso object, along with standard error bars.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: plot.cv.biglasso
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plot.biglasso
(Package: biglasso) :
Plot coefficients from a "biglasso" object
Produce a plot of the coefficient paths for a fitted biglasso object.
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: plot.biglasso
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biglasso
(Package: biglasso) :
Fit lasso penalized regression path for big data
Extend lasso model fitting to big data that cannot be loaded into memory. Fit solution paths for linear or logistic regression models penalized by lasso, or ridge, or elastic-net over a grid of values for the regularization parameter lambda.
● Data Source:
CranContrib
● Keywords:
● Alias: biglasso
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setupX
(Package: biglasso) :
Set up design matrix X by reading data from big data file
Set up the design matrix X as a big.matrix object based on external massive data file stored on disk that cannot be fullly loaded into memory. The data file must be a well-formated ASCII-file, and contains only one single type. Current version only supports double type. Other restrictions about the data file are described in biglasso-package. This function reads the massive data, and creates a big.matrix object. By default, the resulting big.matrix is file-backed, and can be shared across processors or nodes of a cluster.
● Data Source:
CranContrib
● Keywords:
● Alias: setupX
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summary.cv.biglasso
(Package: biglasso) :
Summarizing inferences based on cross-validation
Summary method for "cv.biglasso" objects
● Data Source:
CranContrib
● Keywords: models, regression
● Alias: print.summary.cv.biglasso, summary.cv.biglasso
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