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| AICc | Akaike's second-order corrected Information Criterion for small sample sizes |
| akaike.weights | Calculation of Akaike weights/relative likelihoods/delta-AICs |
| b3 | The nonlinear models implemented in qpcR |
| b4 | The nonlinear models implemented in qpcR |
| b5 | The nonlinear models implemented in qpcR |
| baro5 | The nonlinear models implemented in qpcR |
| batchstat | Concatenating or calculating statistics on a 'pcrbatch' |
| batsch1 | qPCR dilution experiments with replicates (Lightcycler 1.0) from Batsch et al |
| batsch2 | qPCR dilution experiments with replicates (Lightcycler 1.0) from Batsch et al |
| batsch3 | qPCR dilution experiments with replicates (Lightcycler 1.0) from Batsch et al |
| batsch4 | qPCR dilution experiments with replicates (Lightcycler 1.0) from Batsch et al |
| batsch5 | qPCR dilution experiments with replicates (Lightcycler 1.0) from Batsch et al |
| BIC | Bayesian Information Criterion |
| calib | Calculation of qPCR efficiency by dilution curve analysis with an optional iterative search of the optimal threshold border |
| calib2 | Calculation of qPCR efficiency by dilution curve analysis and bootstrapping of dilution curve replicates |
| curvemean | Building a model which averages a batch of qPCR curves |
| Cy0 | Cy0 alternative to crossing points/threshold cycles as in Guescini et al |
| eff | The amplification efficiency curve of a fitted object |
| efficiency | Calculation of qPCR efficiency and several other important qPCR parameters |
| evidence | Evidence ratio for model comparison with AIC or AICc |
| expcomp | Comparison of all available sigmodal models by RMSE within the exponential region |
| expfit | Calculation of PCR efficiency by fitting an exponential model |
| expGrowth | The nonlinear models implemented in qpcR |
| fitprob | The (chi-square) fit probability |
| guescini1 | A qPCR dilution experiment with replicates (Lightcycler 480) from Guescini et al |
| guescini2 | A qPCR experiment with replicates and simulated inhibition (Lightcycler 480) from Guescini et al |
| is.outlier | Efficiency outlier summary for objects of class 'modlist' or 'replist' |
| KOD | (K)inetic (O)utlier (D)etection according to Bar et al. (2003) or using Partitioning Around Medoids |
| l3 | The nonlinear models implemented in qpcR |
| l4 | The nonlinear models implemented in qpcR |
| l5 | The nonlinear models implemented in qpcR |
| LR | Calculation of likelihood ratios for nested models |
| maxRatio | The maxRatio method as in Shain et al |
| meanlist | Amalgamation of single data models to a model containing the averaged model |
| midpoint | Calculation of the exponential region midpoint according to Peirson et al |
| modlist | Create nonlinear models from a dataframe and coerce them into a list |
| mselect | Selection of the best model by nested F-tests/likelihood ratios/Akaike weights |
| outlier | Calculation of qPCR outlier cycles |
| pcrbatch | Batch calculation of qPCR efficiency and several other important qPCR parameters with different methods |
| pcrboot | Bootstrapping and jackknifing qPCR (and other) data |
| pcrfit | Function for qPCR model fitting |
| pcrGOF | Summarize measures for the goodness-of-fit |
| pcrimport | Simple qPCR data import function (i.e. from text files or clipboard). |
| pcropt1 | Combinatorial elimination of plateau and ground phase cycles |
| pcropt2 | Elimination of qPCR cycles with low (high) impact on fitted parameters |
| pcrsim | Simulation of sigmoidal qPCR data with goodness-of-fit analysis for different models |
| plot.pcrfit | Plotting qPCR data with fitted curves/confidence bands/error bars |
| predict.pcrfit | Value prediction from a fitted qPCR model |
| PRESS | Allen's PRESS (Prediction Sum-Of-Squares) statistic, aka P-square |
| propagate | General error analysis function using Monte-Carlo simulation/permutation/(first-order) error propagation |
| ratiocalc | Calculation of ratios/propagated errors/confidence intervals/permutation p-values from qPCR runs with/without reference data |
| replist | Amalgamation of single data models to a model containing replicates |
| reps | qPCR dilution experiment with replicates (Roche Lightcycler) |
| reps2 | Another qPCR dilution experiment with replicates (Roche Lightcycler) |
| reps3 | A qPCR dilution experiment with replicates (Stratagene MXPro3000P) |
| resplot | A residuals bar-plot with colour-coded bars |
| 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 |
| Rsq.cor | R-square derived from correlation of data and fitted values |
| RSS | Residual sum-of-squares of a fitted model |
| rutledge | qPCR dilution experiment with replicates and different runs from Rutledge et al (Biorad Opticon) |
| S27 | PCR data from 15 different testicular biopsies (Roche Lightcycler) |
| sliwin | Calculation of PCR efficiency by the window-of-linearity method |
| update.pcrfit | Updating and refitting a qPCR model |
| w3 | The nonlinear models implemented in qpcR |
| w4 | The nonlinear models implemented in qpcR |