qpcR: an R package for sigmoidal model selection in quantitative real-time polymerase chain reaction analysis

394 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

An evaluation of R2 as an inadequate measure for nonlinear models in pharmacological and biochemical research: a Monte Carlo approach (2010, methodology): “Nonlinear curve fitting was done by using functionality from the R package qpcR [18].”
Basal metabolism in tropical birds: latitude, altitude, and the ‘pace of life’ (2015, methodology): “According to Akaike Information Criterion tests (‘qpcR’ package; Ritz & Spiess 2008), Pagel’s model best fit our data, indicating that the traits in question are best described as having evolved in a directional manner in which patterns of similarity reflect shared A cc ep te d A rt ic le This…”
Environmental DNA particle size distribution from Brook Trout (Salvelinus fontinalis) (2015, methodology): “Cy0 values were calculated from raw amplification data using the package qpcR (Ritz and Spiess 2008) in R v. 3.0.1 (R Core Team 2013).”