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) |
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