Partial Least Squares for Cox Models with Big Matrices
Matrix and arithmetic operations for big.matrix objects
Fitting a Cox-Model on group sparse PLSR components
Fitting a Cox-Model on group sparse PLSR components using the (Devianc...
Fitting a Cox-Model on sparse PLSR components
Fitting a Cox-Model on sparse PLSR components using the (Deviance) Res...
Cross-validation for big-memory PLS-Cox models
Cross-validating a Direct Kernel group PLS model fitted on the (Devian...
Cross-validating a Direct Kernel group sparse PLS model fitted on the ...
Cross-validating a Direct Kernel sparse PLS model fitted on the (Devia...
Cross-validating a Cox-Model fitted on group PLSR components
Cross-validating a Cox-Model fitted on group PLSR components using (De...
Cross-validating a Cox-Model fitted on sparse group PLSR components
Cross-validating a Cox-Model fitted on sparse group PLSR components us...
Cross-validating a Cox-Model fitted on sparse PLSR components
Cross-validating a Cox-Model fitted on sparse PLSR components componen...
Predict method for big_pls_cox_gd
Transform new data to PLS–Cox scores
Partial Least Squares Components for Cox Models with Big Matrices
Align a GD fit to a PLS fit (optional refit)
Partial Least Squares Components for Cox Models (fast backend)
Gradient based PLS Cox for big matrices
bigPLScox-package
Construct Scaled Design Matrices for Big Survival Models
Fit Survival Models with Stochastic Gradient Descent
Information criteria for component selection
Compute deviance residuals
Cox deviance residuals via C++ backends
Fitting a Direct Kernel group PLS model on the (Deviance) Residuals
Fitting a Direct Kernel group sparse PLS model on the (Deviance) Resid...
Fitting a Cox-Model on sparse PLSR components using the (Deviance) Res...
Fitting a Cox-Model on group PLSR components
Fitting a Cox-Model on group PLSR components using the (Deviance) Resi...
Cox Proportional Hazards Model Data Generation From Weibull Distributi...
Extract Diagnostics from a big_pls_cox_gd Model
Internal bigPLScox functions
Incremental Survival Model Fitting with Pre-Scaled Data
Plot method for big_pls_cox_gd objects
Plot method for big_pls_cox objects
Predict survival summaries from legacy Cox-PLS fits
Predict responses and latent scores from PLS fits
Predictions for fast big PLS–Cox fits
Predict method for big-memory PLS-Cox models
Print method for big_pls_cox_gd objects
Print method for big_pls_cox objects
Print method for summary.big_pls_cox_fast objects
Summary for big_pls_cox objects
Summary for big_pls_cox_gd objects
Summary for big_pls_cox objects
Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models for big data. Provides a Partial Least Squares (PLS) algorithm adapted to Cox proportional hazards models that works with 'bigmemory' matrices without loading the entire dataset in memory. Also implements a gradient-descent based solver for Cox proportional hazards models that works directly on 'bigmemory' matrices. Bertrand and Maumy (2023) <https://hal.science/hal-05352069>, and <https://hal.science/hal-05352061> highlighted fitting and cross-validating PLS-based Cox models to censored big data.
Useful links