learningCurve: An Implementation of Crawford's and Wright's Learning Curve Production Functions

Implements common learning curve production functions. It incorporates Crawford's and Wright's learning curve functions to compute unit and cumulative block estimates for time (or cost) of units along with an aggregate learning curve. It also provides delta and error functions and some basic learning curve plotting functions.along with functions to compute aggregated learning curves, error rates, and to visualize learning curves.

Version: 1.1.2
Depends: R (≥ 2.10)
Imports: ggplot2, scales, gridExtra, tibble
Suggests: knitr, rmarkdown, testthat
Published: 2018-03-30
Author: Bradley Boehmke [aut, cre], Jason Freels [aut]
Maintainer: Bradley Boehmke <bradleyboehmke at gmail.com>
BugReports: https://github.com/AFIT-R/learningCurve/issues
License: GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE]
URL: https://github.com/AFIT-R/learningCurve
NeedsCompilation: no
Materials: README
CRAN checks: learningCurve results


Reference manual: learningCurve.pdf
Vignettes: learningCurve
Package source: learningCurve_1.1.2.tar.gz
Windows binaries: r-devel: learningCurve_1.1.2.zip, r-release: learningCurve_1.1.2.zip, r-oldrel: learningCurve_1.1.2.zip
OS X binaries: r-release: learningCurve_1.1.2.tgz, r-oldrel: learningCurve_1.1.2.tgz
Old sources: learningCurve archive


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