zvalues

The data to compute variance for. In most of application it is residuals of fitt.

vector of bumber of repeated data. It can be output from <code><a rd-options="" href="/link/nonrepl?package=nlr&version=0.1-3" data-mini-rdoc="nlr::nonrepl">nonrepl</a></code> function.

Position of the repeated data in original vector.

Compute Sample variance for dependent variable. For repeated response the sample variance of predictor compute over a cross section of predictor, for non repeated data sample variance of response computed by difference of residuals of consequetive values.

sample variance

Robust variance

Non-Linear Robust package is developed to handle the problem of
outliers in nonlinear regression,    using robust statistics. It covers
classic methods in nonlinear regression as well. It has facilities to fit
models in the case of auto correlated and heterogeneous variance cases,
while it include tools to detecting outliers in nonlinear regression.
(Riazoshams H, Midi H, and Ghilagaber G, (2018, ISBN:978-1-118-73806-1).
Robust Nonlinear Regression, with Application using R, John Wiley and Sons.)

Hossein Riazoshams

Nonlinear Regression Modelling using Robust Methods

zvalues function

vector of bumber of repeated data. It can be output from <code><a rd-options='' href='nonrepl'>nonrepl</a></code> function.

zvalues: Sample Variance

Description

Usage

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Value

Details

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See Also

Examples