Man pages for PanelMatch
Matching Methods for Causal Inference with Time-Series Cross-Sectional Data
| balance_scatter | balance_scatter |
| build_maha_mats | build_maha_mats Builds the matrices that we will then use to... |
| build_ps_data | build_ps_data |
| calculate_estimates | calculate_estimates |
| calculate_placebo_estimates | calculate_placebo_estimates |
| calculate_point_estimates | calculate_point_estimates Helper function that calculates the... |
| check_time_data | check_time_data |
| clean_leads | clean_leads Function to check the lead windows in treated and... |
| dem | Country-level Democracy indicator |
| DisplayTreatment | DisplayTreatment |
| enforce_lead_restrictions | enforce_lead_restrictions check treatment and control units... |
| equality_four | equality_four Small helper function implementing estimation... |
| equality_four_placebo | equality_four_placebo |
| expand_treated_ts | expand_treated_ts Builds a list that contains all times in a... |
| extract_differences | extract_differences This function calculates the differences... |
| findBinaryTreated | findBinaryTreated |
| find_ps | find_ps |
| get_covariate_balance | Calculate covariate balance |
| getDits | getDits returns a vector of Dit values, as defined in the... |
| get.matchedsets | get.matchedsets |
| get_set_treatment_effects | get_set_treatment_effects |
| getWits | getWits returns a vector of Wits, as defined in the paper... |
| handle_bootstrap | handle_bootstrap |
| handle_bootstrap_parallel | handle_bootstrap_parallel |
| handle_bootstrap_placebo | handle_bootstrap_placebo |
| handle_bootstrap_placebo_parallel | handle_bootstrap_placebo_parallel |
| handle_conditional_se | handle_conditional_se Calculates conditional standard errors... |
| handle_mahalanobis_calculations | handle_mahalanobis_calculations Returns a matched.set object... |
| handle_missing_data | handle_missing_data |
| handle_moderating_variable | handle_moderating_variable handles moderating variable... |
| handle_ps_match | handle_ps_match Returns a matched.set object with weights for... |
| handle_ps_weighted | handle_ps_weighted |
| handle_unconditional_se | handle_conditional_se Calculates conditional standard errors... |
| identifyDirectionalChanges | identifyDirectionalChanges Identifies changes in treatment... |
| lwd_refinement | lwd_refinement master function that performs refinement with... |
| lwd_units | lwd_units helper function that actually subsets sets down to... |
| matched_set | matched_set |
| merge_formula | merge_formula |
| PanelEstimate | PanelEstimate |
| PanelMatch | PanelMatch |
| PanelMatch-package | Matching Methods for Causal Inference with Time-Series... |
| parse_and_prep | parse_and_prep |
| pcs | Prepare Control Units pcs and pts create data frames with the... |
| perform_refinement | perform_refinement Performs refinement of matched sets,... |
| perunitSum | perunitSum This is a low level function that is used to... |
| perunitSum_Dit | perunitSum_Dit Similar to perunitSum, this is a low level... |
| placebo_test | placebo_test |
| plot.matched.set | Plot the distribution of the sizes of matched sets. |
| plot.PanelEstimate | Plot point estimates and standard errors from a PanelEstimate... |
| prepare_data | prepare_data The calculation of point estimates and standard... |
| print.matched.set | Print 'matched.set' objects. |
| set_lwd_refinement | set_lwd_refinement Performs the set-level operations for... |
| summary.matched.set | Summarize information about a 'matched.set' object and the... |
| summary.PanelEstimate | Get summaries of PanelEstimate objects/calculations |
