qchisqAppr: Compute Approximate Quantiles of the Chi-Squared Distribution

In DPQ: Density, Probability, Quantile ('DPQ') Computations

Compute Approximate Quantiles of the Chi-Squared Distribution

Description

Compute quantiles (inverse distribution values) for the chi-squared distribution. using Johnson,Kotz,.. ............TODO.......

Usage

qchisqKG    (p, df, lower.tail = TRUE, log.p = FALSE)
qchisqWH    (p, df, lower.tail = TRUE, log.p = FALSE)
qchisqAppr  (p, df, lower.tail = TRUE, log.p = FALSE, tol = 5e-7)
qchisqAppr.R(p, df, lower.tail = TRUE, log.p = FALSE, tol = 5e-07,
             maxit = 1000, verbose = getOption("verbose"), kind = NULL)

Arguments

p	vector of probabilities.
df	degrees of freedom > 0, maybe non-integer; must have length 1.
lower.tail, log.p	logical, see, e.g., qchisq(); must have length 1.
tol	non-negative number, the convergence tolerance
maxit	the maximal number of iterations
verbose	logical indicating if the algorithm should produce “monitoring” information.
kind	the kind of approximation; if NULL, the default, the approximation chosen depends on the arguments; notably it is chosen separately for each p. Otherwise, it must be a character string. The main approximations are Wilson-Hilferty versions, when the string contains "WH". More specifically, it must be one of the strings "chi.small" particularly useful for small chi-squared values p;... ... "WH" ... ... "p1WH" ... ... "WHchk" ... ... "df.small" particularly useful for small degrees of freedom df... ...

Value

...

Author(s)

Martin Maechler

See Also

qchisq. Further, our approximations to the non-central chi-squared quantiles, qnchisqAppr

Examples

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DPQ documentation built on Sept. 11, 2024, 8:37 p.m.