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dfrr (version 0.1.5)

Dichotomized Functional Response Regression

Description

Implementing Function-on-Scalar Regression model in which the response function is dichotomized and observed sparsely. This package provides smooth estimations of functional regression coefficients and principal components for the dichotomized functional response regression (dfrr) model.

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Install

install.packages('dfrr')

Monthly Downloads

228

Version

0.1.5

License

GPL-3

Issues

0

Pull Requests

0

Stars

1

Forks

0

Maintainer

Fatemeh Asgari

Last Published

May 31st, 2023

Functions in dfrr (0.1.5)

dfrr-package

Dichotomizd functional response regression (dfrr) model
qq

qq-plot Generic function
summary.dfrr

Summary for a dfrr fit
dfrr

Dichotomized Functional Response Regression (dfrr)
predict.dfrr

Prediction for dichotomized function-on-scalar regression
plot.fitted.dfrr

Plot dfrr fitted latent functions
fitted.dfrr

Obtain fitted curves for a dfrr model
fpca

Functional principal component analysis (fpca) of a dfrr fit
residuals.dfrr

Obtain residuals for a dfrr model
plot.fpca.dfrr

Plot dfrr functional principal components
plot.residuals.dfrr

QQ-plot for dfrr residuals
plot.predict.dfrr

Plot dfrr predictions
simulate_simple_dfrr

Simulating a Simple dfrr Model
basis

Get the basis functions from a dfrr-object
plot.coef.dfrr

Plot dfrr coefficients
coef.dfrr

Get estimated coefficients from a dfrr fit
model.matrix.dfrr

Obtain model matrix for a dfrr fit
plot.dfrr

Plot a dfrr fit
madras

Madras Longitudinal Schizophrenia Study.