Dose Response Data Analysis using the 4 Parameter Logistic (4pl)
Model
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Documentation for package ‘dr4pl’ version 2.0.0
Help Pages
| augment.dr4pl | Augment data with dr4pl |
| calculate.dr4pl | dr4pl-calculate |
| coef.dr4pl | Obtain coefficients of a 4PL model |
| confint.dr4pl | Fit a 4 parameter logistic (4PL) model to dose-response data. |
| dr4pl | Fitting 4 Parameter Logistic (4PL) models to dose-response data. |
| dr4pl-augment | Augment data with dr4pl |
| dr4pl-param | Constructor for dr4pl theta parameter |
| dr4pl.data.frame | Fitting 4 Parameter Logistic (4PL) models to dose-response data. |
| dr4pl.default | Fitting 4 Parameter Logistic (4PL) models to dose-response data. |
| dr4pl.formula | Fitting 4 Parameter Logistic (4PL) models to dose-response data. |
| dr4plEst | Private function to fit the 4PL model to dose-response data |
| dr4pl_param | Constructor for dr4pl theta parameter |
| dr4pl_theta | Constructor for dr4pl theta parameter |
| drc_error_1 | Single High Outlier |
| drc_error_2 | Multiple High Outliers at Different measurements |
| drc_error_3 | Support Problem and Outliers at a Single Dose Level |
| drc_error_4 | Support Problem |
| FindHillBounds | FindHillBounds |
| FindInitialParms | FindInitialParms |
| FindLogisticGrids | FindLogisticGrids |
| gof | Perform the goodness-of-fit (gof) test for a model. |
| gof-dr4pl | Perform the goodness-of-fit (gof) test for the 4PL model. |
| gof.dr4pl | Perform the goodness-of-fit (gof) test for the 4PL model. |
| IC | Obtain Inhibitory Concentrations (IC) of a dose-response curve |
| LogToParm | Constructor for dr4pl theta parameter |
| LogToParm.dr4pl_log10 | Constructor for dr4pl theta parameter |
| LogToParm.dr4pl_theta | Constructor for dr4pl theta parameter |
| MeanResponse | Compute an estimated mean response. |
| MeanResponse.dr4pl | Compute an estimated mean response. |
| MeanResponse.dr4pl_log10 | Compute an estimated mean response. |
| MeanResponse.dr4pl_theta | Compute an estimated mean response. |
| MeanResponse.numeric | Compute an estimated mean response. |
| OutlierDetection | Detect outliers by the method of Motulsky and Brown (2006). |
| ParmToLog | Constructor for dr4pl theta parameter |
| ParmToLog.dr4pl_log10 | Constructor for dr4pl theta parameter |
| ParmToLog.dr4pl_theta | Constructor for dr4pl theta parameter |
| plot.dr4pl | Make a plot of a 4PL model curve and data |
| print.dr4pl | Print the dr4pl object to screen. |
| print.summary.dr4pl | Print the dr4pl object summary to screen. |
| residuals.dr4pl | Compute dr4pl residuals. |
| residuals.dr4pl_param | Compute dr4pl residuals. |
| sample_data_1 | sample_data_1 |
| sample_data_10 | sample_data_10 |
| sample_data_11 | sample_data_11 |
| sample_data_12 | sample_data_12 |
| sample_data_13 | sample_data_13 |
| sample_data_2 | sample_data_2 |
| sample_data_3 | sample_data_3 |
| sample_data_4 | sample_data_4 |
| sample_data_5 | sample_data_5 |
| sample_data_6 | sample_data_6 |
| sample_data_7 | sample_data_7 |
| sample_data_8 | sample_data_8 |
| sample_data_9 | sample_data_9 |
| summary.dr4pl | summary |
| vcov.dr4pl | Obtain the variance-covariance matrix of the parameter estimators of a 4PL model. |
| vcov.dr4pl_param | Obtain the variance-covariance matrix of the parameter estimators of a 4PL model. |