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drsmooth (version 1.9.0)

Dose-Response Modeling with Smoothing Splines

Description

Provides tools for assessing the shape of a dose-response curve by testing linearity and non-linearity at user-defined cut-offs. It also provides two methods of estimating a threshold dose, or the dose at which the dose-response function transitions to significantly increasing: bi-linear (based on pkg 'segmented') and smoothed with splines (based on pkg 'mgcv').

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Version

Install

install.packages('drsmooth')

Monthly Downloads

7

Version

1.9.0

License

GPL (>= 3)

Maintainer

Anne Bichteler

Last Published

September 24th, 2015

Functions in drsmooth (1.9.0)

dunnetts

Dunnett's
chisquare

Chi-square
bartlett

Bartlett's
segment

Segmented Hockey Stick Test
drsmooth-package

drsmooth-package: Dose-response Modeling with Smoothing Splines
segment.print

Print Segmented Statistics
drsmooth.print

Print Formatted Matrices for drsmooth
nlaad

Non-linearity Across All Doses
jonckheere

Jonckheere
firstDeriv

First Derivative Function(s)
segment.plot

Plot Segmented Test
nlbcd

Non-linearity Below Cut-off Dose
dichot_smooth

Dose-response Modeling with Smoothing Splines
lbcd

Linearity Below Cut-off Dose
dunnetts.format

Format Dunnett's Test Output
dunnettst3

Dunnett's T3 Test
smooth

Dose-response Modeling with Smoothing Splines
prelimstats

Preliminary Statistics
fishers.exact

Fisher's Exact Test
DRdata

Example and Test Data for drsmooth
shapiro

Shapiro
dosefactor

dosefactor
dunns

Dunn's Test
dunns.format

Format Dunn's Test Output
noel

No/Lowest Observed Effect Levels
drsmooth

Dose-response Modeling with Smoothing Splines
expand

Expand Summarized Dichotomous Data for drsmooth
DIdata

Example and Test Data for drsmooth - dichotomous
pkg_prep

PkgName Prep Functions
outlier

Outlier
spline.plot

Plot Spline