StudentT: The Student-t Distribution

In brms: Bayesian Regression Models using 'Stan'

The Student-t Distribution

Description

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.

See Also

TDist

brms documentation built on Sept. 23, 2024, 5:08 p.m.