qchisqAppr {DPQ} | R Documentation |
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 |
lower.tail , log.p |
logical, see, e.g., |
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
|
Value
...
Author(s)
Martin Maechler
See Also
qchisq
. Further, our approximations to the
non-central chi-squared quantiles, qnchisqAppr
Examples
## TODO