qchisqAppr
Compute Approximate Quantiles of the Chi-Squared Distribution
Compute quantiles (inverse distribution values) for the chi-squared distribution. using Johnson,Kotz,.. ............TODO.......
- Keywords
- distribution
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 eachp. Otherwise, it must be acharacterstring. 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
...
See Also
qchisq. Further, our approximations to the
non-central chi-squared quantiles, qnchisqAppr
Examples
# NOT RUN {
## TODO
# }