Learn R Programming

⚠️There's a newer version (1.4-2) of this package.Take me there.

qpcR (version 1.3-3)

Modelling and analysis of real-time PCR data

Description

Model fitting, optimal model selection and calculation of various features that are essential in the analysis of quantitative real-time polymerase chain reaction (qPCR).

Copy Link

Version

Install

install.packages('qpcR')

Monthly Downloads

1,736

Version

1.3-3

License

GPL (>= 2)

Maintainer

Andrej-Nikolai Spiess

Last Published

November 3rd, 2010

Functions in qpcR (1.3-3)

qPCR data of the S27a transcript in 15 testicular biopsies

Calculation of Akaike weights/relative likelihoods/delta-AICs

Calculation of qPCR efficiency and other important qPCR parameters

R-square value of a fitted model

qPCR dilution experiments Set #3 from the package author

Calculation of qPCR efficiency by dilution curve analysis

qPCR dilution experiments Set #2 from the package author

Residual variance of a fitted model

Combinatorial elimination of plateau and ground phase cycles

Create nonlinear models from a dataframe and coerce them into a list

General error analysis function using different methods

Melting curves of a 4-plex qPCR with different fluorescence dyes

qPCR dilution experiments Set #2 from Guescini et al. (2008)

Residual sum-of-squares of a fitted model

Calculation of PCR efficiency by fitting an exponential model

Sigmoidal model selection by different criteria

The amplification efficiency curve of a fitted object

Calculation of PCR efficiency by the window-of-linearity method

qPCR dilution experiments Set #1 from Guescini et al. (2008)

Simple qPCR data import function (i.e. from text files or clipboard)

Root-mean-squared-error of a fitted model

Evidence ratio for model comparison with AIC or AICc

Comparison of all sigmodal models within the exponential region

Calculation of ratios from qPCR runs with/without reference data

Building a model which averages a batch of qPCR curves

A residuals bar-plot with colour-coded bars

Allen's PRESS (Prediction Sum-Of-Squares) statistic, aka P-square

Plotting qPCR data with fitted curves/confidence bands/error bars

qPCR dilution experiments from Rutledge et al. (2004)

Function for qPCR model fitting

Batch calculation of qPCR efficiency and other qPCR parameters

qPCR dilution experiments Set #1 from the package author

Akaike's second-order corrected Information Criterion

Summarize measures for the goodness-of-fit