## Simulate data
set.seed(18)
x1 <- rnorm(50)
x2 <- rnorm(50)
y <- 1 - x1 + x2 + rnorm(50)
yl <- floor(y)
yu <- ceiling(y)
## Fit model
fit <- coefbounds(yl + yu ~ x1 + x2, boot = 100)
## Test hypothesis that the identification region for the coefficient on x1
## contains -0.25
interval_hypothesis(fit,
term = "x1",
interval = c(-0.25, -0.25),
type = "subset")
## Test hypothesis that the identification region for the coefficient on x2
## equals [0, 1.5]
interval_hypothesis(fit,
term = "x2",
interval = c(0, 1.5),
type = "equal")
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