StudentT: The Student-t Distribution

Description Usage Arguments Details See Also

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

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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)

rstudent_t(n, df, mu = 0, sigma = 1)

Arguments

x, q

Vector of quantiles.

df

Vector of degrees of freedom.

mu

Vector of location values.

sigma

Vector of scale values.

log, log.p

Logical; If TRUE, values are returned on the log scale.

lower.tail

Logical; If TRUE (default), return P(X <= x). Else, return P(X > x) .

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 Aug. 23, 2021, 5:08 p.m.