R: Incomplete Matrix Regression

# Incomplete Matrix Regression

## Documentation for package ‘IMR’ version 1.0.0

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

## Help Pages

as_incomplete | Clean and convert any matrix to a sparse object
Bixi_sample | Bixi Sample Data
coef.imr_fit | Extract the fitted model's coefficients
evaluate | Evaluate Model Predictions
get_metric | Returns a predefined error metric
imr_convergence | Control Parameters for IMR Convergence
imr_data | Prepare Data and Model Structure for IMR
imr_fit | Fit an IMR Model
imr_set_grid_limits | Automatically Determine Hyperparameter Grid Maximum Values
imr_similarity | Generate Similarity or Information Matrix Object
imr_tune | Hyperparameter Tuning for IMR Models
imr_tune_grid | Define Hyperparameter Tuning Grid for IMR
is_incomplete | Has the matrix be processed by 'as_incomplete()'?
mc_with_means | Matrix Completion using Row and Column Means
print.imr_convergence | Summary of the model's convergence parameters
print.imr_data | Print an IMR data object
print.imr_fit | Summary of the model's fit operation
print.imr_similarity | Print an IMR similarity object
print.imr_tune_grid | Summary of the hyperparameter grid
reconstruct | Reconstruct Model Estimates and Components
reconstruct_partial | Partially Reconstruct Model Estimates for Specific Indices
summary.imr_fit | Summary of the fitted model's parameters
svd_opt | Optimized Singular Value Decomposition
update.imr_data | Update IMR Model Structure