# cvm.test

##### Cramer-Von Mises Test of Goodness-of-Fit

Performs the

- Keywords
- htest

##### Usage

`cvm.test(x, null = "punif", ..., nullname)`

##### Arguments

- x
- Numeric vector of data values.
- null
- A function, or a character string giving the name of a function, to compute the cumulative distribution function for the null distribution.
- ...
- Additional arguments for the cumulative distribution function.
- nullname
- Optional character string describing the null distribution.
The default is
`"uniform distribution"`

.

##### Details

This command performs the
`null`

. It is assumed that the values in `x`

are
independent and identically distributed random values, with some
cumulative distribution function $F$.
The null hypothesis is that $F$ is the function
specified by the argument `null`

, while the alternative
hypothesis is that $F$ is some other function.

##### Value

- An object of class
`"htest"`

representing the result of the hypothesis test.

##### References

*Journal of the Royal Statistical Society, Series B*
**58**, 221--234.

##### See Also

`pCvM`

for the null distribution of the test statistic.

##### Examples

```
x <- rnorm(10, mean=2, sd=1)
cvm.test(x, "pnorm", mean=2, sd=1)
```

*Documentation reproduced from package goftest, version 1.0-1, License: GPL (>= 2)*