Man pages for soichiroy/orddid
Difference-in-Differences Design for Ordinal Outcome
| block_sample | Block re-sampling for block bootstrap |
| block_unit_sample | Unit level block bootstrap |
| calc_threshold | Selecting the equivalence threshold |
| count_nj | Counting category selections by groups |
| create_group_dummy | Create a group indicator The same-length condition is already... |
| dat_block_boot | helper function for the loss computation |
| equivalence_test | Conduct an equivalence test of the distributional parallel... |
| fit_ord_probit | Probit Regression |
| fit_ord_probit_gr | Probit regression with group dummies |
| gun_threewave | Three-wave panel from Barney and Schaffner (2019) |
| gun_twowave | Two-wave panel from Barney and Schaffner (2019) |
| log_like_probit | Log-likelihood Function |
| log_like_probit_group | Log-likelihood Function |
| ord_did | Ordinal Difference-in-Differences for Panel Data |
| ord_did_boot | Bootstrap function |
| ord_did_check_input | Input check for 'ord_did'. |
| orddid-package | Difference-in-Differences for Ordinal Outcomes |
| ord_did_run | Parameter Estimation for the Counterfactual Outcome |
| ord_did_run_check_input | Input check for 'ord_did_run'. |
| ord_probit_check_cat | Input check for 'fit_ord_probit'. |
| plot.orddid.test | Visualizing the result of equivalence_test() |
| qd | Compute qd(v) |
| summarise_equivalence_test | Summarise function for equivalence_test() |
| summarise_ord_did | Summarise function for ord_did() |
| summary.orddid | Get summaries of ord_did() and equivalence_test() objects. |
| tv_gradient | Compute gradient of t(v; theta) |
| tv_max | Compute tvmax |
| zd | Compute zd(v) |
