qchisqAppr {DPQ} | R Documentation |
Compute quantiles (inverse distribution values) for the chi-squared distribution. using Johnson,Kotz,.. ............TODO.......
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)
p |
vector of probabilities. |
df |
degrees of freedom > 0, maybe non-integer; must have length 1. |
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
|
...
Martin Maechler
qchisq
. Further, our approximations to the
non-central chi-squared quantiles, qnchisqAppr
## TODO