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npregfast (version 1.2.1)

Nonparametric Estimation of Regression Models with Factor-by-Curve Interactions

Description

A method for obtain nonparametric estimates of regression models with or without factor-by-curve interactions using local polynomial kernel smoothers. Additionally, a parametric model (allometric model) can be estimated.

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Version

Install

install.packages('npregfast')

Monthly Downloads

320

Version

1.2.1

License

MIT + file LICENSE

Maintainer

Marta Sestelo

Last Published

February 16th, 2016

Functions in npregfast (1.2.1)

barnacle

Barnacle dataset.

allotest

Bootstrap based test for testing an allometric model

criticaldiff

Differences between the critical points for two factor's levels

localtest

Testing the equality of critical points

predict.frfast

Prediction from fitted frfast model

globaltest

Testing the equality of the M curves specific to each level

plot.frfast

Visualization of frfast objects

critical

Critical points of the regression function

plotdiff

Visualization of the differences between the estimated curves for two factor's levels

npregfast

npregfast: Nonparametric Estimation of Regression Models with Factor-by-Curve Interactions.

runExample

Run npregfast example

frfast

Fitting nonparametric models

summary.frfast

Summarizing fits of frfast class