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cir (version 2.5.1)

Centered Isotonic Regression and Dose-Response Utilities

Description

Isotonic regression (IR) and its improvement: centered isotonic regression (CIR). CIR is recommended in particular with small samples. Also, interval estimates for both, and additional utilities such as plotting dose-response data. For dev version and change history, see GitHub assaforon/cir.

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Version

Install

install.packages('cir')

Monthly Downloads

352

Version

2.5.1

License

GPL-2

Maintainer

Assaf P. Oron

Last Published

February 1st, 2025

Functions in cir (2.5.1)

Backend utility to calculate analytical CIR/IR interval estimates, given the point estimates

Backend utility to calculate inverse (dose-finding) intervals, using local inversion and the Delta method

Analytical ordered-binary-Y confidence intervals, using the Morris (1988) algorithm

Inverse (dose-finding) point estimate (e.g., estimating a percentile)

Piecewise-linear local slopes given a (non-strictly) monotone x-y sequence

Standard unordered-Binomial confidence interval utilities.

Convenient Forward point and interval estimation via CIR or IR

Convenient point and Interval Inverse Estimation ("Dose-Finding"), using CIR or IR

"Old School" isotonic-regression point estimates, with flexible dose-response input

Isotonic Regression, Centered Isotonic Regression, and Dose-Response Utilities

Centered-isotonic-regression (CIR) point estimation

Plotting Methods for DRtrace, doseResponse Objects

Constructor functions and class-checking functions for DRtrace and doseResponse classes

Shrinkage fix to mitigate bias in observed rates, under adaptive dose-finding designs