Density, distribution function, quantile function and random generation
for the Student-t distribution with location mu, scale sigma,
and degrees of freedom df.
Usage
dstudent_t(x, df, mu = 0, sigma = 1, log = FALSE)
pstudent_t(q, df, mu = 0, sigma = 1, lower.tail = TRUE, log.p = FALSE)
qstudent_t(p, df, mu = 0, sigma = 1, lower.tail = TRUE, log.p = FALSE)
rstudent_t(n, df, mu = 0, sigma = 1)Arguments
- x
Vector of quantiles.
- df
Vector of degrees of freedom.
- mu
Vector of location values.
- sigma
Vector of scale values.
- log
Logical; If
TRUE, values are returned on the log scale.- q
Vector of quantiles.
- lower.tail
Logical; If
TRUE(default), return P(X <= x). Else, return P(X > x) .- log.p
Logical; If
TRUE, values are returned on the log scale.- p
Vector of probabilities.
- n
Number of draws to sample from the distribution.
Details
See vignette("brms_families") for details
on the parameterization.