computeFytXC | R Documentation |
convert first step quantile regression estimates and second step copula estimates into the distribution of Y conditional on T and X this is not currently used (we replaced this numerical approach with a direct calculation inside the R code). This also only works currently for a Gumbel copula.
computeFytXC(yvals, tvals, Qyxpreds, Ftxpreds, tau, copula, copParam)
yvals |
values to compute conditional distribution for |
tvals |
values of treatment to compute conditional distribution for |
Qyxpreds |
matrix of quantile regression predictions |
Ftxpreds |
matrix of conditional distribution (T conditional on X) predictions |
tau |
values at which QR's were estimated |
copula |
which type of copula was estimated (currently ignored and imposes that the copula is Gumbel |
copParam |
previously estimated copula parameter |
cube corresponding to conditional distribution as a function of y, t, and each row of X in the data
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