| TVMVP-package | TVMVP: Time-Varying Minimum Variance Portfolio Optimization | 
| comp_expected_returns | Function to compute expected returns using a simple model selection approach | 
| determine_factors | Determine the Optimal Number of Factors via an Information Criterion | 
| epanechnikov_kernel | Epanechnikov Kernel Function | 
| expanding_tvmvp | #' Expanding Window Time-Varying Minimum Variance Portfolio Optimization | 
| get_object_size | the function will return the size of obj and it is smart in the sense that it will choose the suitable unit | 
| hyptest | Test for Time-Varying Covariance via Local PCA and Bootstrap | 
| localPCA | Perform Local PCA Over Time | 
| predict_portfolio | Predict Optimal Portfolio Weights Using Time-Varying Covariance Estimation | 
| silverman | Compute Bandwidth Parameter Using Silverman's Rule of Thumb | 
| time_varying_cov | Estimate Time-Varying Covariance Matrix Using Local PCA | 
| TVMVP | Time Varying Minimum Variance Portfolio (TVMVP) Class |