Tobit | R Documentation |
Density, distribution function, quantile function and random generation for the Tobit model.
dtobit(x, mean = 0, sd = 1, Lower = 0, Upper = Inf, log = FALSE)
ptobit(q, mean = 0, sd = 1, Lower = 0, Upper = Inf,
lower.tail = TRUE, log.p = FALSE)
qtobit(p, mean = 0, sd = 1, Lower = 0, Upper = Inf,
lower.tail = TRUE, log.p = FALSE)
rtobit(n, mean = 0, sd = 1, Lower = 0, Upper = Inf)
x , q |
vector of quantiles. |
p |
vector of probabilities. |
n |
number of observations.
If |
Lower , Upper |
vector of lower and upper thresholds. |
mean , sd , lower.tail , log , log.p |
see |
See tobit
, the VGAM family function
for estimating the parameters,
for details.
Note that the density at Lower
and Upper
is the
the area to the left and right of those points.
Thus there are two spikes (but less in value);
see the example below.
Consequently, dtobit(Lower) + dtobit(Upper) +
the area
in between equals unity.
dtobit
gives the density,
ptobit
gives the distribution function,
qtobit
gives the quantile function, and
rtobit
generates random deviates.
T. W. Yee
tobit
,
rnorm
.
mu <- 0.5; x <- seq(-2, 4, by = 0.01)
Lower <- -1; Upper <- 2.0
integrate(dtobit, lower = Lower, upper = Upper,
mean = mu, Lower = Lower, Upper = Upper)$value +
dtobit(Lower, mean = mu, Lower = Lower, Upper = Upper) +
dtobit(Upper, mean = mu, Lower = Lower, Upper = Upper) # Adds to 1
## Not run:
plot(x, ptobit(x, m = mu, Lower = Lower, Upper = Upper),
type = "l", ylim = 0:1, las = 1, col = "orange",
ylab = paste("ptobit(m = ", mu, ", sd = 1, Lower =", Lower,
", Upper =", Upper, ")"),
main = "Orange is the CDF; blue is density",
sub = "Purple lines are the 10,20,...,90 percentiles")
abline(h = 0)
lines(x, dtobit(x, m = mu, L = Lower, U = Upper), col = "blue")
probs <- seq(0.1, 0.9, by = 0.1)
Q <- qtobit(probs, m = mu, Lower = Lower, Upper = Upper)
lines(Q, ptobit(Q, m = mu, Lower = Lower, Upper = Upper),
col = "purple", lty = "dashed", type = "h")
lines(Q, dtobit(Q, m = mu, Lower = Lower, Upper = Upper),
col = "darkgreen", lty = "dashed", type = "h")
abline(h = probs, col = "purple", lty = "dashed")
max(abs(ptobit(Q, mu, L = Lower, U = Upper) - probs)) # Should be 0
epts <- c(Lower, Upper) # Endpoints have a spike (not quite, actually)
lines(epts, dtobit(epts, m = mu, Lower = Lower, Upper = Upper),
col = "blue", lwd = 3, type = "h")
## End(Not run)
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