R: Lab for Matrix Completion and Imputation of Discrete Rating Data

# Lab for Matrix Completion and Imputation of Discrete Rating Data

## Documentation for package ‘RMCLab’ version 0.1.0

- DESCRIPTION file
- Package README

## Help Pages

RMCLab-package | Lab for Matrix Completion and Imputation of Discrete Rating Data
create_splits | Create splits of observed data cells for hyperparameter tuning
cv_folds | Create splits of observed data cells for hyperparameter tuning
cv_folds_control | Control objects for hyperparameter validation
fraction_grid | Construct grid of values for the regularization parameter
get_completed | Extract the completed (imputed) data matrix
get_completed.median_impute | Extract the completed (imputed) data matrix
get_completed.mode_impute | Extract the completed (imputed) data matrix
get_completed.rdmc | Extract the completed (imputed) data matrix
get_completed.rdmc_tuned | Extract the completed (imputed) data matrix
get_completed.soft_impute | Extract the completed (imputed) data matrix
get_completed.soft_impute_tuned | Extract the completed (imputed) data matrix
get_imputed | Extract the completed (imputed) data matrix
get_lambda | Extract the optimal value of the regularization parameter
get_lambda.rdmc | Extract the optimal value of the regularization parameter
get_lambda.rdmc_tuned | Extract the optimal value of the regularization parameter
get_lambda.soft_impute | Extract the optimal value of the regularization parameter
get_lambda.soft_impute_tuned | Extract the optimal value of the regularization parameter
get_nb_iter | Extract the number of iterations
get_nb_iter.rdmc | Extract the number of iterations
get_nb_iter.rdmc_tuned | Extract the number of iterations
holdout | Create splits of observed data cells for hyperparameter tuning
holdout_control | Control objects for hyperparameter validation
lambda_grid | Construct grid of values for the regularization parameter
median_impute | Median imputation
mode_impute | Mode imputation
MovieLensToy | Toy example derived from the MovieLens 100K dataset
mult_grid | Construct grid of values for the regularization parameter
rdmc | Robust discrete matrix completion
rdmc_tune | Robust discrete matrix completion with hyperparameter tuning
RMCLab | Lab for Matrix Completion and Imputation of Discrete Rating Data
soft_impute | Matrix completion via nuclear-norm regularization
soft_impute_tune | Matrix completion via nuclear-norm regularization with hyperparameter tuning
validation_control | Control objects for hyperparameter validation