Incomplete Matrix Regression

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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