# 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 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

...

##### See Also

`qchisq`

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

##### Examples

```
# NOT RUN {
## TODO
# }
```

*Documentation reproduced from package DPQ, version 0.4-2, License: GPL (>= 2)*