Man pages for panelr
Regression Models and Utilities for Repeated Measures and Panel Data
| are_varying | Check if variables are constant or variable over time. |
| as_parser_list | Convert WBFormula to list (for backward compatibility) |
| asym | Estimate asymmetric effects models using first differences |
| asym_gee | Asymmetric effects models fit with GEE |
| balance_panel | Balance panel data by filling gaps |
| basis_function_registry | Registry of known basis functions and their reproducible... |
| basis_utils | Utilities for handling basis expansion functions in formulas |
| bt | Add backticks to names |
| bt_if_needed | Conditionally add backticks based on syntax validity |
| build_panel_data | Lightweight panel_data constructor |
| complete_data | Filter out entities with too few observations |
| detect_matrix_terms | Check if any terms in a formula are matrix-returning |
| evaluate_basis_term | Evaluate a basis function on pooled data and extract... |
| expand_basis_columns | Expand a basis matrix into individual columns in a data frame |
| expand_matrix_terms_in_data | Expand matrix terms into data columns |
| extract_basis_variable | Extract the primary variable from a basis function call |
| extract_fn_name | Extract the function name from a formula term |
| extract_ranef_vars | Extract variables from random effects terms |
| fdm | Estimate first differences models using GLS |
| fdm_tidiers | Tidy methods for 'fdm' and 'asym' models |
| formula.wbm | Retrieve model formulas from 'wbm' objects |
| generate_basis_colnames | Generate column names for expanded basis matrix |
| get_interactions.WBFormula | Get all interaction labels from WBFormula |
| get_meanvar | Get mean variable name for a term |
| get_wave | Retrieve panel_data metadata |
| has_gaps | Check if panel data has gaps |
| has_interactions | Check if WBFormula has interactions |
| heise | Estimate Heise stability and reliability coefficients |
| InteractionConfig | Interaction configuration |
| is_known_basis_fn | Check if a function is a known basis function |
| is_matrix_term | Check if a term returns a matrix when evaluated |
| is_panel | Check if object is panel_data |
| is_panel_sorted | Check if panel data is properly sorted |
| is_varying_term | Check if a variable is time-varying in WBFormula |
| is_within_model | Check if model uses within-transformation |
| line_plot | Plot trends in longitudinal variables |
| long_panel | Convert wide panels to long format |
| make_diff_data | Generate differenced and asymmetric effects data |
| make_interaction_config | Create InteractionConfig from wbm() arguments |
| make_wb_data | Prepare data for within-between modeling |
| model_frame | Make model frames for panel_data objects |
| nlsy | National Longitudinal Survey of Youth data |
| nobs.wbm | Number of observations used in 'wbm' models |
| panel_data | Create panel data frames |
| panel_data-vctrs | Internal vctrs methods |
| predict.wbgee | Predictions and simulations from within-between GEE models |
| predict.wbm | Predictions and simulations from within-between models |
| print.WBFormula | Print method for WBFormula |
| process_matrix_term | Process a matrix term for within-between decomposition |
| reconstruct_basis_call | Reconstruct a basis function call with a modified variable |
| reexports | Objects exported from other packages |
| scan_gaps | Scan for gaps in panel data |
| should_demean_ints | Determine if interactions should be de-meaned |
| summary.panel_data | Summarize panel data frames |
| teen_poverty | National Longitudinal Survey of Youth teenage women poverty... |
| un_bt | Remove backticks from names |
| unpanel | Convert panel_data to regular data frame |
| update_pf_for_matrix_terms | Update parsed formula object for matrix terms |
| use_old_style_ints | Determine if "old-style" interaction processing is needed |
| WageData | Earnings data from the Panel Study of Income Dynamics |
| WBFormula | WBFormula class for within-between model formula... |
| WBFormula_from_parser | Create WBFormula from parser output (for migration) |
| wbgee | Panel regression models fit with GEE |
| wbgee_tidiers | Tidy methods for 'wbgee' models |
| wbm | Panel regression models fit via multilevel modeling |
| wbm-class | Within-Between Model ('wbm') class |
| wbm_stan | Bayesian estimation of within-between models |
| wbm_tidiers | Tidy methods for 'wbm' models |
| widen_panel | Convert long panel data to wide format |
