Last data update: 2014.03.03

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CranContrib
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Results 1 - 10 of 51 found.
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is.outlier (Package: qpcR) : Outlier summary for objects of class 'modlist' or 'replist'

For model lists of class 'modlist' or 'replist', is.outlier returns a vector of logicals for each run if they are outliers (i.e. sigmoidal or kinetic) or not.
● Data Source: CranContrib
● Keywords: models, nonlinear
● Alias: is.outlier
● 0 images

calib (Package: qpcR) : Calculation of qPCR efficiency using dilution curves and replicate bootstrapping

This function calculates the PCR efficiency from a classical qPCR dilution experiment. The threshold cycles are plotted against the logarithmized concentration (or dilution) values, a linear regression line is fit and the efficiency calculated by E = 10^{frac{-1}{slope}}. A graph is displayed with the raw values plotted with the threshold cycle and the linear regression curve. The threshold cycles are calculated either by some arbitrary fluorescence value (i.e. as given by the qPCR software) or calculated from the second derivative maximum of the dilution curves. If values to be predicted are given, they are calculated from the curve and also displayed within. calib2 uses a bootstrap approach if replicates for the dilutions are supplied. See 'Details'.
● Data Source: CranContrib
● Keywords: models, nonlinear
● Alias: calib
● 0 images

pcrGOF (Package: qpcR) : Summarize measures for the goodness-of-fit

Calculates all implemented measures for the goodness-of-fit and returns them as a list. Works for objects of class pcrfit, lm, glm, nls, drc and many others...
● Data Source: CranContrib
● Keywords: models, nonlinear
● Alias: pcrGOF
● 0 images

maxRatio (Package: qpcR) : The maxRatio method as in Shain et al. (2008)

The maximum ratio (MR) is determined along the cubic spline interpolated curve of frac{F_n}{F_{n-1}} and the corresponding cycle numbers FCN and its adjusted version FCNA are then calculated for MR.
● Data Source: CranContrib
● Keywords: models, nonlinear
● Alias: maxRatio
● 0 images

akaike.weights (Package: qpcR) : Calculation of Akaike weights/relative likelihoods/delta-AICs

Calculates Akaike weights from a vector of AIC values.
● Data Source: CranContrib
● Keywords: models, nonlinear
● Alias: akaike.weights
● 0 images

Cy0 (Package: qpcR) : Cy0 alternative to threshold cycles as in Guescini et al. (2008)

An alternative to the classical crossing point/threshold cycle estimation as described in Guescini et al (2002). A tangent is fit to the first derivative maximum (point of inflection) of the modeled curve and the intersection with the x-axis is calculated.
● Data Source: CranContrib
● Keywords: models, nonlinear
● Alias: Cy0
● 0 images

pcrfit (Package: qpcR) : Workhorse function for qPCR model fitting

This is the workhorse function of the qpcR package that fits one of the available models to qPCR data using (weighted) nonlinear least-squares (Levenberg-Marquardt) fitting from nlsLM of the 'minpack.lm' package.
● Data Source: CranContrib
● Keywords: models, nonlinear
● Alias: pcrfit
● 0 images

pcrboot (Package: qpcR) : Bootstrapping and jackknifing qPCR data

Confidence intervals for the estimated parameters and goodness-of-fit measures are calculated for a nonlinear qPCR data fit by either
a) boostrapping the residuals of the fit or
b) jackknifing and refitting the data.
● Data Source: CranContrib
● Keywords: models, nonlinear
● Alias: pcrboot
● 0 images

LOF.test (Package: qpcR) : Formal lack-Of-Fit test of a nonlinear model against a one-way ANOVA model

Tests the nonlinear model against a more general one-way ANOVA model and from a likelihood ratio test. P-values are derived from the F- and χ^2 distribution, respectively.
● Data Source: CranContrib
● Keywords: models, nonlinear
● Alias: LOF.test
● 0 images

expfit (Package: qpcR) : Calculation of PCR efficiency by fitting an exponential model

An exponential model is fit to a window of defined size on the qPCR raw data. The window is identified either by the second derivative maximum 'cpD2' (default), 'studentized outlier' method as described in Tichopad et al. (2003), the 'midpoint' method (Peirson et al., 2003) or by subtracting the difference of cpD1 and cpD2 from cpD2 ('ERBCP', unpublished).
● Data Source: CranContrib
● Keywords: models, nonlinear
● Alias: expfit
● 0 images