Man pages for udellgroup/mixedgcImp
Missing value imputation for mixed data through Gaussian copula
| cal_mae_scaled | Wrapper for cal_smae |
| cat_to_integers | Encode category names to integers |
| comp_error | Compute imputation error |
| continuous2ordinal | Transform a continuous vector to ordinal vector through... |
| continuous2ordinal_ | Transform a continuous vector to ordinal vector through... |
| ct_impute | confidence intervals for Gaussian copula imputation |
| em_mixedgc | EM algorithm to fit Gaussian copula |
| em_mixedgc_ppca | EM algorithm to fit low rank Gaussian copula |
| em_mixedgc_ppca_iter | Each iteration of EM algorithm fit (LRGC) |
| est_z_row_ord | Compute the observed ordinal mean and cov in a row |
| est_z_row_ord_nocont | Compute multivariate truncated normal mean and covariance |
| generate_copula | Sample data from Gaussian copula distribution |
| generate_mixed_from_gc | Wrapper |
| generate_sigma | Sample random correlation matrix |
| get_cat_bounds | Get the lower and upper bounds for truncated normal moments... |
| get_cat_index_freq | Compute categorical frequency |
| get_cat_mu | Categorical marginal estimation |
| get_cond_dist | Conditional normal mean and cov |
| get_trunc_2dmoments | Compute multivariate truncated normal mean and cov |
| grassman_dist | Compute Grassman distance between two space |
| impute_GC | Gaussian copula for incomplete mixed data |
| impute_init | Return a complete Z matrix based on SVD initialization |
| impute_LRGC | Low rank Gaussian copula for incomplete mixed data |
| impute_mixedgc | Wrapper |
| impute_mixedgc_ppca | Wrapper |
| imputeZ_mixedgc_ppca | Impute missing entries for the Z matrix |
| initZ_interval_truncated | Generate values for latent 'Z' at observed ordinal entires |
| latent_operation | Operation to conduct in the latent space |
| latent_operation_row | Operation to conduct in the latent space for each row |
| mask_MCAR | Mask data |
| moments_truncnorm | Truncated normal mean and variance |
| moments_truncnorm_vec | Truncated normal mean and variance |
| observed_to_latent | From observed X to latent Z |
| project_to_nominal_corr | Copula correlation projection |
| quad | Quadratic form |
| range_transform | Transform original observation X to copula observation Z |
| reliability_cont | Compute reliability |
| reliability_ord | Compute reliability |
| scale_corr | Adjust estiamted correlation parameters |
| split_mask_val_test | Split observation into training and validation |
| sum_2d_scale | Sum a 2d matrix along one axis |
| sum_3d_scale | Sum a 3d matrix along one axis |
| to_numeric_matrix | DataFrame to Matrix |
| update_z_row_ord | Compute the observed ordinal mean and var in a row |
| Ximp_transform | Transform imputed Z matrix to X in the observed space |
| Z_to_original_trunc | Transform latent for cat |
