Cooperative Learning for Multi-View Analysis

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Documentation for package ‘multiview’ version 0.8

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

multiview-package	Cooperative learning for multiple views using generalized linear models
coef.cv.multiview	Extract coefficients from a cv.multiview object
coef.multiview	Extract coefficients from a multiview object
coef_ordered	Extract an ordered list of standardized coefficients from a 'multiview' or 'cv.multiview' object
coef_ordered.cv.multiview	Extract an ordered list of standardized coefficients from a cv.multiview object
coef_ordered.multiview	Extract an ordered list of standardized coefficients from a multiview object
collapse_named_lists	Collapse a list of named lists into one list with the same name
cox_obj_function	Elastic net objective function value for Cox regression model
cv.multiview	Perform k-fold cross-validation for cooperative learning
dev_function	Elastic net deviance value
elnet.fit	Solve weighted least squares (WLS) problem for a single lambda value
get_cox_lambda_max	Get lambda max for Cox regression model
get_eta	Helper function to get etas (linear predictions)
get_start	Get null deviance, starting mu and lambda max
make_row	Build a block row matrix for multiview
multiview	Perform cooperative learning using the direct algorithm for two or more views.
multiview.control	Internal multiview parameters
multiview.cox.fit	Fit a Cox regression model with elastic net regularization for a single value of lambda
multiview.cox.path	Fit a Cox regression model with elastic net regularization for a path of lambda values
multiview.fit	Fit a GLM with elastic net regularization for a single value of lambda
multiview.path	Fit a GLM with elastic net regularization for a path of lambda values
obj_function	Elastic net objective function value
pen_function	Elastic net penalty value
plot.multiview	Plot coefficients from a "multiview" object
predict.cv.multiview	Make predictions from a "cv.multiview" object.
predict.multiview	Get predictions from a 'multiview' fit object
reshape_x_to_xlist	Return a new list of x matrices of same shapes as those in x_list
response.coxnet	Make response for coxnet
select_matrix_list_columns	Select x_list columns specified by (conformable) list of indices
to_nvar_index	Translate from column indices in list of x matrices to indices in '1:nvars'. No sanity checks for efficiency
to_xlist_index	Translate indices in '1:nvars' to column indices in list of x matrices. No sanity checks
view.contribution	Evaluate the contribution of data views in making prediction
weighted_mean_sd	Helper function to compute weighted mean and standard deviation