# Finds Gaussian Parameters of a Response Model.

### Description

`GaussPara`

is a generci function to find Gaussian parameters in
any response function. In Gaussian function, these will be the real
Gaussian paramters, in other models similar parameters for the height
at optimum (`"top"`

), location of the optimum (`"opt"`

) and
the width of the response at height `exp(-0.5)*top`

. For
unsymmetric responses, parameter `tol`

gives the width to the
left and `tol.right`

the width to the right of `opt`

.

### Usage

1 |

### Arguments

`resp` |
Response function for a single species or a list of responses from a data frame method. |

`...` |
Other parameters. See individual response models for possible other paraemters. |

### Details

See individual response functions for more details.

### Value

Returns an object with (at least) items `top`

for the height at the
optimum, `opt`

for the location of the optimum), `tol`

for
the width to the left of the optimum, `tol.right`

width to the right
of the optimum or text `symmetric`

for symmetric
responses. Individual response functions may add some items to these.

### Note

Currently implemented only for `HOF`

.

### Author(s)

Jari Oksanen

### References

Lawesson, J.E. & Oksanen, J. (2002) Niche characteristics of Danish
woody species as derived from coenoclines. *Journal of Vegetation
Science* 13: 279-290. (For HOF models.)

### See Also

`HOF`

is the only implementation. If the parameters cannot
be found in closed form, `optimize`

is used for `opt`

and `uniroot`

for `tol`

and `tol.right`

.

### Examples

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