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nlstac (version 0.2.0)

An R Package for Fitting Separable Nonlinear Models

Description

Set of functions implementing the algorithm described in Fernandez Torvisco et al. (2018) for fitting separable nonlinear regression curves. See Fernandez Torvisco, Rodriguez-Arias Fernandez and Cabello Sanchez (2018) .

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Version

Install

install.packages('nlstac')

Monthly Downloads

207

Version

0.2.0

License

GPL-3

Maintainer

Rafael Benitez

Last Published

April 11th, 2023

Functions in nlstac (0.2.0)

print.summary.nlstac

Prints the summary a summary.nlstac object.
nls_tac

Nonlinear fit with the TAC algorithm
nobs.nlstac

Extract the Number of Observations from a nsltac Fit
print.nlstac

Print a nlstac Model
predict.nlstac

Predict a nls tac fit.
summary.nlstac

Summary a nls tac fit.
residuals.nlstac

Extract Model Residuals for a nsltac fit model
vcov.nlstac

Calculate Variance-Covariance Matrix for a nlstac Fitted Model Object
get_functions

Get nonlinear functions from a separable nonlinear formula
deviance.nlstac

Extract Model Deviance for a nsltac fit model
is.nlstac

Is nlsTAC class check
fitted.nlstac

Extract Fitted Values from a nsltac Fit
get_lhs

Get left hand side of a formula
logLik.nlstac

Extract Log-Likelihood from a nlstac Model
get_best_params

Get best-fit parameters
get_parameters

Get parameters from a formula
get_rhs

Get right hand side of a formula
df.residual.nlstac

Residuals Degree-of-Freedom of a nsltac Fit