R: Compute Approximate Quantiles of the Chi-Squared Distribution

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 > 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

      ## TODO

[Package DPQ version 0.4-4 Index]