Lhat_RD_fun: Estimator used in constructing the minimax CI for RDD
In soonwookwon/rdadapt: What the Package Does (One Line, Title Case)

Calculates the estimator that is used to construct the adaptive (or minimax) CI for RDD. Again, the estimator correponds to the inverse modulus ω^{-1}(b, Λ_{\mathcal{V}+}(γ_1, C_1),Λ_{\mathcal{V}+}(γ_2, C_2)).

1 2	Lhat_RD_fun(b = NULL, bt = NULL, bc = NULL, gamma, C, Xt, Xc, Yt, Yc, mon_ind, sigma_t, sigma_c, swap = FALSE)

`b`	point where the inverse modulus is evaluated at
`gamma`	length two vector of gammas ((γ_1, γ_2)')
`C`	length two vector of Cs ((C_1, C_2)')
`Xt`	n_t \times k design matrix for the treated units
`Xc`	n_c \times k design matrix for the control units
`Yt`	length n_t of outcome variables for the treated units
`Yc`	length n_c of outcome variables for the control units
`mon_ind`	indice of the monotone variables
`sigma_t`	standard deviation of the error term for the treated units (either length 1 or n_t)
`sigma_c`	standard deviation of the error term for the control units
`swap`	indiactor of whether to swap the parameter spaces