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onls (version 0.1-2)

Orthogonal Nonlinear Least-Squares Regression

Description

Fits two-dimensional data by means of orthogonal nonlinear least-squares using Levenberg-Marquardt minimization and provides functionality for fit diagnostics and plotting.

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Version

Install

install.packages('onls')

Monthly Downloads

550

Version

0.1-2

License

GPL (>= 2)

Maintainer

Andrej-Nikolai Spiess

Last Published

October 31st, 2022

Functions in onls (0.1-2)

confint.onls

Confidence intervals for 'onls' model parameters

deviance_o

Deviance of the orthogonal residuals

NIST

Complicated nonlinear models from the NIST database

print.onls

Printing function for 'onls' objects

check_o

Check the fit for orthogonality of all points

onls

Orthogonal Nonlinear Least-Squares Regression

summary.onls

Summary function for 'onls' objects

residuals_o

The orthogonal residuals

logLik_o

Log-Likelihood for the orthogonal residuals

plot.onls

Plotting function for 'onls' objects

x0/y0-values from orthogonal nonlinear least squares regression