| adpt.res.gen | Length Generation for One-sided CIs |
| a_fun | Helper Function for Worst-case Bias Calculation |
| bw_mod | Between Modulus Calculation |
| c_hat_lower_RD | Lower Adaptive CI for the RD Parameter |
| CI_adpt | Adaptive Confidence Interval |
| CI_adpt_L | Lower Adaptive Confidence Interval |
| CI_adpt_opt | Adaptive Confidence Interval with Optimal Lipschitz... |
| CI.gen | High-level CI Generation |
| CI_length_RD | Minimum Half-length Function |
| CI_minimax_RD | Minimax Confidence Interval |
| cov_calc | Covariance Between Two Estimators |
| cov_mat_calc | Covariance Matrix Calculation for Multiple Estimators |
| CovU_mat | Distance from Oracle Helper Function: Covariance |
| cv_a | Quantile of Folded Normal Distribution |
| dist.J | Distance Measure Function (of J) |
| dist_l | Distance Between Two Length Functions |
| EU_vec | Distance from Oracle Helper Function: Mean |
| f.1 | Function f_1 |
| f.2 | Function f_2 |
| f.3 | Function f_3 |
| f.4 | Function f_4 |
| f.5 | Function f_5 |
| f.6 | Function f_6 |
| f.eval | Regression Function Evaluation |
| invmod | Inverse Modulus |
| invmod_RD | Inverse Modulus for RD Parameter |
| K_fun | Kernel Function for Adaptive Procedures |
| l_adpt | Worst-case Excess Length of the Adaptive Procedure |
| Lhat_fun_RD | Estimator for the Adaptive CI |
| l_orc | Oracle Excess Length |
| max_Q | Quantile of Maximum of Multivariate Normal Random Variable |
| max_Q2 | Quantile of Maximum of Multivariate Normal Random Variable 2 |
| minb_fun | Minimum Modulus |
| modsol_RD | Modulus of Continuity for the RD Parameter |
| Norm | (Weighted) L_p Norm |
| Opt_C_seq | Calculates the Optimal Sequence of Lipschitz Coefficients |
| Opt_C_seq2 | Calculates the Optimal Sequence of Lipschitz Coefficients 2 |
| pmin_mat | Row-wise Minimum |
| pos | Positive Part |
| RDMono | Inference in RD under Monotonicity |
| sd_Lhat_RD | Standard Deviation of Estimator |
| sd_w | Standard Deviation Given Weights |
| sigmaNN | Nearest Neighborhood Estimation of Conditional Standard... |
| sigmaNN2 | Nearest Neighborhood Estimation of Conditional Standard... |
| sigmaSvm | Standard Deviation Calculation by Silverman's Rule |
| sigmaSvm.test | Standard Deviation Calculation by Silverman's Rule (Tesing... |
| spec.data | Data Generation for a Given Specification |
| spec.data.all | Data Generation for All Specifications |
| spec.grid | Specification Data Frame Generation |
| spec.res.gen | CI Length and Coverage Result Generation |
| sup_bias_Lhat_RD | Worst-case Bias |
| tau_calc | Coverage Probability Calculation for Intersection CI |
| Vminus | Function for (x)_{V-} |
| Vplus | Function for (x)_{V+} |
