Performing drug response analyses and IC50 estimations using n-Parameter logistic regression. Can also be applied to proliferation analyses.
The nplr package is currently in development and is not yet available via CRAN. To install a test version of the package, use devtools:
require(devtools)install_github("fredcommo/nplr")
R News
SIGNIFICANT USER-VISIBLE CHANGES * Both GOF and weighted GOF are computed. They are returned in the model summary and can be displayed in the plot. See vignette for details.
SIGNIFICANT USER-VISIBLE CHANGES * A getWeights() function is added, which returns both the weighted and non-weighted standard errors.
BUG FIXES * Error in std-error (weighted and non-weighted) computation, fixed.
SIGNIFICANT USER-VISIBLE CHANGES * A nplr-class summary is added.
SIGNIFICANT USER-VISIBLE CHANGES * New example file 'multiplecell.tsv' containing multiple experiment results. * New graphical options in overlay(): showLegend, Cols. * Updated vignette with nplrApp presentation
SIGNIFICANT USER-VISIBLE CHANGES * Simplified plot() function with less predifined graphical parameters.
NEW FEATURES * New overlay() function to superimpose multiple curves.
SIGNIFICANT USER-VISIBLE CHANGES * New method for estimating the weighted Goodness-of-Fit
SIGNIFICANT USER-VISIBLE CHANGES * No changes
NEW FEATURES * New package
BUG FIXES * No changes classified as 'bug fixes' (package under active development)