Fycondx.DR

take a particular value of y and predict F(y|x)

# S3 method for DR
Fycondx(object, yvals, xdf)

Arguments

object	a distribution regression object
yvals	the values to compute the ecdf for
xdf	a dataframe (can contain multiple rows) with x values

Value

an ecdf for each value of the x's

Examples

data(igm)
yvals <- seq(quantile(igm$lcfincome,.05,type=1),
 quantile(igm$lcfincome,.95, type=1), length.out=100)
dres <- distreg(lcfincome ~ lfincome + HEDUC, igm, yvals)
xdf <- data.frame(lfincome=10, HEDUC=c("LessHS","HS"))
d <- Fycondx(dres, yvals, xdf)
d
#> [[1]]
#> Empirical CDF 
#> Call: NULL
#>  x[1:100] = 9.6856, 9.7073, 9.7291,  ..., 11.814, 11.836
#> 
#> [[2]]
#> Empirical CDF 
#> Call: NULL
#>  x[1:100] = 9.6856, 9.7073, 9.7291,  ..., 11.814, 11.836
#> 
y0 <- yvals[50]
d[[1]](y0)
#> [1] 0.7270084