Man pages for EBukin/lassopmm
Create synthetic panels from cross sectional data
| check_original_data | Internal function for checking presence of the "missing data" |
| convert_bootstrap_permutation | Converts a table of the values into a list of permutation... |
| detect_poverty | Classifies variable between thresholds creating 3 groups:... |
| estimate_matches | Run lasso estimation on the prepared matrixes |
| find_near | Find neares match between a vector of observations and a... |
| find_one_near | Internal function to help in matching observations. |
| get_all_combinations | Convert a table of dummy variables to a table of its unique... |
| get_bootstrap_permutation | Generates a list of permutation vectors for bootsrapping (old... |
| get_bootstrap_permutation_old | Generates a list of permutation vectors for bootsrapping (old... |
| get_mi_mean | Get multiple imputation mean statistics |
| get_mi_mean_by_group | Get multiple imputation mean statistics using gouping... |
| get_mi_means_table | Get multiple imputation mean statistics for several variables |
| lassopmm | Impute data to from the period 0 dataframe to the period 1... |
| lassopmm_app | Run shiny app with the lassopmm functionality |
| p_0_exmple | Sample dataset on automobiles borrowed from STATA. |
| p_1_exmple | Sub-sample of the automobiles data from STATA. |
| sample_bootstrap | Bootstrap permutation vectors sample dataframe |
| sample_vector | Resample a vector of values with repetition |
| var_check | Check if the object supplied has an empty string value and... |
