| AICc |
Akaike's second-order corrected Information Criterion |
| akaike.weights |
Calculation of Akaike weights/relative likelihoods/delta-AICs |
| b4 |
The nonlinear/mechanistic models implemented in qpcR |
| b5 |
The nonlinear/mechanistic models implemented in qpcR |
| b6 |
The nonlinear/mechanistic models implemented in qpcR |
| b7 |
The nonlinear/mechanistic models implemented in qpcR |
| batsch1 |
The (published) datasets implemented in qpcR |
| batsch2 |
The (published) datasets implemented in qpcR |
| batsch3 |
The (published) datasets implemented in qpcR |
| batsch4 |
The (published) datasets implemented in qpcR |
| batsch5 |
The (published) datasets implemented in qpcR |
| boggy |
The (published) datasets implemented in qpcR |
| calib |
Calculation of qPCR efficiency using dilution curves and replicate bootstrapping |
| cm3 |
The nonlinear/mechanistic models implemented in qpcR |
| competimer |
The (published) datasets implemented in qpcR |
| Cy0 |
Cy0 alternative to threshold cycles as in Guescini et al. (2008) |
| dil4reps94 |
The (published) datasets implemented in qpcR |
| dyemelt |
The (published) datasets implemented in qpcR |
| eff |
The amplification efficiency curve of a fitted object |
| efficiency |
Calculation of qPCR efficiency and other important qPCR parameters |
| evidence |
Evidence ratio for model comparisons with AIC, AICc or BIC |
| expcomp |
Comparison of all sigmodal models within the exponential region |
| expfit |
Calculation of PCR efficiency by fitting an exponential model |
| expGrowth |
The nonlinear/mechanistic models implemented in qpcR |
| expSDM |
The nonlinear/mechanistic models implemented in qpcR |
| fitchisq |
The chi-square goodness-of-fit |
| getPar |
Batch calculation of qPCR fit parameters/efficiencies/threshold cycles with simple output, especially tailored to high-throughput data |
| guescini1 |
The (published) datasets implemented in qpcR |
| guescini2 |
The (published) datasets implemented in qpcR |
| htPCR |
The (published) datasets implemented in qpcR |
| is.outlier |
Outlier summary for objects of class 'modlist' or 'replist' |
| karlen1 |
The (published) datasets implemented in qpcR |
| karlen2 |
The (published) datasets implemented in qpcR |
| karlen3 |
The (published) datasets implemented in qpcR |
| KOD |
(K)inetic (O)utlier (D)etection using several methods |
| l4 |
The nonlinear/mechanistic models implemented in qpcR |
| l5 |
The nonlinear/mechanistic models implemented in qpcR |
| l6 |
The nonlinear/mechanistic models implemented in qpcR |
| l7 |
The nonlinear/mechanistic models implemented in qpcR |
| lievens1 |
The (published) datasets implemented in qpcR |
| lievens2 |
The (published) datasets implemented in qpcR |
| lievens3 |
The (published) datasets implemented in qpcR |
| lin2 |
The nonlinear/mechanistic models implemented in qpcR |
| linexp |
The nonlinear/mechanistic models implemented in qpcR |
| llratio |
Calculation of likelihood ratios for nested models |
| LOF.test |
Formal lack-Of-Fit test of a nonlinear model against a one-way ANOVA model |
| LRE |
Calculation of qPCR efficiency by the 'linear regression of efficiency' method |
| mak2 |
The nonlinear/mechanistic models implemented in qpcR |
| mak2i |
The nonlinear/mechanistic models implemented in qpcR |
| mak3 |
The nonlinear/mechanistic models implemented in qpcR |
| mak3i |
The nonlinear/mechanistic models implemented in qpcR |
| maxRatio |
The maxRatio method as in Shain et al. (2008) |
| meltcurve |
Melting curve analysis with (iterative) Tm identification and peak area calculation/cutoff |
| midpoint |
Calculation of the 'midpoint' region |
| modlist |
Create nonlinear models from a dataframe and coerce them into a list |
| mselect |
Sigmoidal model selection by different criteria |
| parKOD |
Parameters that can be changed to tweak the kinetic outlier methods |
| pcrbatch |
Batch calculation of qPCR efficiency and other qPCR parameters |
| pcrboot |
Bootstrapping and jackknifing qPCR data |
| pcrfit |
Workhorse function for qPCR model fitting |
| pcrGOF |
Summarize measures for the goodness-of-fit |
| pcropt1 |
Combinatorial elimination of plateau and ground phase cycles |
| pcrsim |
Simulation of sigmoidal qPCR data with goodness-of-fit analysis |
| plot.pcrfit |
Plotting qPCR data with fitted curves |
| predict.pcrfit |
Value prediction from a fitted qPCR model |
| PRESS |
Allen's PRESS (Prediction Sum-Of-Squares) statistic, aka P-square |
| propagate |
Error propagation using different methods |
| qpcR.news |
Display news and changes of qpcR package versions |
| ratiobatch |
Calculation of ratios in a batch format for multiple genes/samples |
| ratiocalc |
Calculation of ratios from qPCR runs with/without reference genes |
| ratioPar |
Calculation of ratios in a batch format from external PCR parameters |
| refmean |
Averaging of multiple reference genes |
| replist |
Amalgamation of single data models into a model containing replicates |
| reps |
The (published) datasets implemented in qpcR |
| reps2 |
The (published) datasets implemented in qpcR |
| reps3 |
The (published) datasets implemented in qpcR |
| reps384 |
The (published) datasets implemented in qpcR |
| resplot |
An (overlayed) residuals barplot |
| resVar |
Residual variance of a fitted model |
| RMSE |
Root-mean-squared-error of a fitted model |
| Rsq |
R-square value of a fitted model |
| Rsq.ad |
Adjusted R-square value of a fitted model |
| RSS |
Residual sum-of-squares of a fitted model |
| rutledge |
The (published) datasets implemented in qpcR |
| sliwin |
Calculation of qPCR efficiency by the 'window-of-linearity' method |
| spl3 |
The nonlinear/mechanistic models implemented in qpcR |
| takeoff |
Calculation of the qPCR takeoff point |
| testdat |
The (published) datasets implemented in qpcR |
| update.pcrfit |
Updating and refitting a qPCR model |
| vermeulen1 |
The (published) datasets implemented in qpcR |
| vermeulen2 |
The (published) datasets implemented in qpcR |
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