Growth model of the reared sea urchin Paracentrotus ... - SciViews

Annexes
the names of the settable control values and their effect.
trace: logical value indicating if a trace of the iteration progress
should be printed. Default is `FALSE'. If `TRUE'
intermediary results are printed at the end of each
iteration.
Details:
Value:
An `nlrq' object is a type of fitted model object. It has methods
for the generic functions `coef' (parameters estimation at best
solution), `formula' (model used), `deviance' (value of the
objective function at best solution), `print', `summary',
`fitted' (vector of fitted variable according to the model),
`predict' (vector of data points predicted by the model, using a
different matrix for the independent variables) and also for the
function `tau' (quantile used for fitting the model, as the tau
argument of the function). Further help is also available for the
method `residuals'.
A list consisting of:
m: an `nlrqModel' object similar to an `nlsModel' in package nls
data: the expression that was passed to `nlrq' as the data
argument. The actual data values are present in the
environment of the `m' component.
Author(s):
Based on S code by Roger Koenker modified for R and to accept same
models as nls by Philippe Grosjean.
References:
See Also:
Examples:
Koenker, R. and Park, B.J. (1994). An Interior Point Algorithm for
Nonlinear Quantile Regression, Journal of Econometrics, 71(1-2):
265-283.
`nlrq.control' , `residuals.nlrq'
# Example using model defined in the nls library
library(nls)
# build artificial data with multiplicative error
Dat