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| AICc | Akaike's second-order corrected Information Criterion |
| 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 |
| b6 | The nonlinear models implemented in qpcR |
| b7 | The nonlinear models implemented in qpcR |
| baseline | Baselining and refitting six-parameter sigmoidal models |
| batchstat | Concatenating or calculating statistics on a 'pcrbatch' |
| batsch1 | qPCR dilution experiments from Batsch et al. (2008) |
| batsch2 | qPCR dilution experiments from Batsch et al. (2008) |
| batsch3 | qPCR dilution experiments from Batsch et al. (2008) |
| batsch4 | qPCR dilution experiments from Batsch et al. (2008) |
| batsch5 | qPCR dilution experiments from Batsch et al. (2008) |
| boggy | qPCR dilution experiments from Boggy et al. (2010) |
| calib | Calculation of qPCR efficiency by dilution curve analysis |
| calib2 | Calculation of qPCR efficiency by dilution curve bootstrapping |
| cbind.na | Create or combine data of unequal size by Rows or Columns |
| curvemean | Building a model which averages a batch of qPCR curves |
| Cy0 | Cy0 alternative to threshold cycles as in Guescini et al. (2008) |
| data.frame.na | Create or combine data of unequal size by Rows or Columns |
| dyemelt | Melting curves of a 4-plex qPCR with different fluorescence dyes |
| eff | The amplification efficiency curve of a fitted object |
| efficiency | Calculation of qPCR efficiency and other important qPCR parameters |
| efficiency.modlist | Calculation of qPCR efficiency and other important qPCR parameters |
| evidence | Evidence ratio for model comparison with AIC or AICc |
| expcomp | Comparison of all sigmodal models within the exponential region |
| expfit | Calculation of PCR efficiency by fitting an exponential model |
| expGrowth | The nonlinear models implemented in qpcR |
| fitchisq | The chi-square goodness-of-fit |
| getPar | Batch calculation of qPCR efficiencies/threshold cycles with simple output, especially tailored to high-throughput data |
| guescini1 | qPCR dilution experiments Set #1 from Guescini et al. (2008) |
| guescini2 | qPCR dilution experiments Set #2 from Guescini et al. (2008) |
| is.outlier | Outlier summary for objects of class 'pcrfit, 'modlist' or 'replist' |
| KOD | (K)inetic (O)utlier (D)etection according to Bar et al. (2003) |
| l3 | The nonlinear models implemented in qpcR |
| l4 | The nonlinear models implemented in qpcR |
| l5 | The nonlinear models implemented in qpcR |
| l6 | The nonlinear models implemented in qpcR |
| l7 | The nonlinear models implemented in qpcR |
| LOF.test | Formal Lack-Of-Fit test of a nonlinear model against a one-way ANOVA model |
| LR | Calculation of likelihood ratios for nested models |
| mak2 | The nonlinear models implemented in qpcR |
| mak3 | The nonlinear models implemented in qpcR |
| makXpar | Parameters that can be changed to tweak the mak2/mak3 methods |
| maxRatio | The maxRatio method as in Shain et al. (2008) |
| meanlist | Amalgamation of single data models into an averaged model |
| meltcurve | Melting curve analysis with (iterative) Tm identification and peak area calculation/cutoff |
| midpoint | Calculation of the 'midpoint' region according to Peirson et al. (2003) |
| modlist | Create nonlinear models from a dataframe and coerce them into a list |
| mselect | Sigmoidal model selection by different criteria |
| neill.test | Neill's lack-of-fit test when replicates are lacking |
| outlier | Calculation of qPCR outlier cycles |
| pcrbatch | Batch calculation of qPCR efficiency and other qPCR parameters |
| pcrboot | Bootstrapping and jackknifing qPCR data |
| pcrfit | Function for qPCR model fitting |
| pcrGOF | Summarize measures for the goodness-of-fit |
| pcrimport | Advanced qPCR data import function |
| pcrimport2 | 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 |
| 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 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 data |
| rbind.na | Create or combine data of unequal size by Rows or Columns |
| rep2mod | Converts a 'replist' back to a 'modlist' |
| replist | Amalgamation of single data models into a model containing replicates |
| reps | qPCR dilution experiments Set #1 from the package author |
| reps2 | qPCR dilution experiments Set #2 from the package author |
| reps3 | qPCR dilution experiments Set #3 from the package author |
| 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 |
| RSS | Residual sum-of-squares of a fitted model |
| rutledge | qPCR dilution experiments from Rutledge et al. (2004) |
| S27 | qPCR data of the S27a transcript in 15 testicular biopsies |
| sisti1 | qPCR dilution experiments Set #1 from Sisti et al. (2010) |
| sisti2 | qPCR dilution experiments Set #2 from Sisti et al. (2010) |
| sliwin | Calculation of PCR efficiency by the window-of-linearity method |
| SOD | (S)igmoidal (O)utlier (D)etection using first/second derivative maxima |
| update.pcrfit | Updating and refitting a qPCR model |