big_palette             A palette with 40 colors
biosensor.eq            Internal function used to fit a biosensor
                        response model with 'nlsLM'
export_RData            Export an R object as .RData file
export_Table            Export a tabular object as tab-separated .txt
                        file
fl.control              Create a 'fl.control' object.
fl.drFit                Fit a biosensor model (Meyer et al., 2019) to
                        response vs. concentration data
fl.drFitModel           Perform a biosensor model fit on response vs.
                        concentration data of a single sample.
fl.report               Create a PDF and HTML report with results from
                        a fluorescence analysis workflow
fl.workflow             Run a complete fluorescence curve analysis and
                        dose-reponse analysis workflow.
flBootSpline            flBootSpline: Function to generate a bootstrap
flFit                   Perform a fluorescence curve analysis on all
                        samples in the provided dataset.
flFitLinear             Data fit via a heuristic linear method
flFitSpline             Perform a smooth spline fit on fluorescence
                        data
growth.control          Create a 'grofit.control' object.
growth.drBootSpline     Perform a smooth spline fit on response vs.
                        concentration data of a single sample
growth.drFit            Perform a dose-response analysis on response
                        vs. concentration data
growth.drFitModel       Fit various models to response vs.
                        concentration data of a single sample to
                        determine the EC50.
growth.drFitSpline      Perform a smooth spline fit on response vs.
                        concentration data of a single sample to
                        determine the EC50.
growth.gcBootSpline     Perform a bootstrap on growth vs. time data
                        followed by spline fits for each resample
growth.gcFit            Perform a growth curve analysis on all samples
                        in the provided dataset.
growth.gcFitLinear      Fit an exponential growth model with a
                        heuristic linear method
growth.gcFitModel       Fit nonlinear growth models to growth data
growth.gcFitSpline      Perform a smooth spline fit on growth data
growth.report           Create a PDF and HTML report with results from
                        a growth curve analysis workflow
growth.workflow         Run a complete growth curve analysis and
                        dose-reponse analysis workflow.
inflect                 Find indices of maxima an minima in a data
                        series
lm_parms                Helper functions for handling linear fits.
low.integrate           Function to estimate the area under a curve
                        given as x and y(x) values
parse_Gen5Gen6          Extract relevant data from a raw data export
                        file generated with the "Gen5" or "Gen6"
                        software.
parse_data              Parse raw plate reader data and convert it to a
                        format compatible with QurvE
parse_victornivo        Extract relevant data from a raw data export
                        file generated from the software of Perkin
                        Elmer's "Victor Nivo" plate readers.
parse_victorx3          Extract relevant data from a raw data export
                        file generated from the software of Perkin
                        Elmer's "Victor X3" plate readers.
plot.drBootSpline       Generic plot function for 'gcBootSpline'
                        objects.
plot.drFit              Generic plot function for 'drFit' objects.
plot.drFitFLModel       Generic plot function for 'drFitFLModel'
                        objects.
plot.drFitModel         Generic plot function for 'drFitModel' objects.
plot.drFitSpline        Generic plot function for 'drFitSpline'
                        objects.
plot.drFitfl            Generic plot function for 'drFitFL' objects.
plot.dr_parameter       Compare calculated dose-response parameters
                        between conditions.
plot.dual               Compare fluorescence and growth over time
plot.flBootSpline       Generic plot function for 'flBootSpline'
                        objects.
plot.flFitLinear        Generic plot function for 'flcFittedLinear'
                        objects. Plot the results of a linear
                        regression on ln-transformed data
plot.flFitRes           Combine different groups of samples into a
                        single plot
plot.flFitSpline        Generic plot function for 'flFitSpline'
                        objects.
plot.gcBootSpline       Generic plot function for 'gcBootSpline'
                        objects.
plot.gcFitLinear        Generic plot function for 'gcFittedLinear'
                        objects. Plot the results of a linear
                        regression on ln-transformed data
plot.gcFitModel         Generic plot function for 'gcFitModel' objects.
plot.gcFitSpline        Generic plot function for 'gcFitSpline'
                        objects.
plot.grid               Plot a matrix of growth curve panels
plot.grodata            Generic plot function for 'grodata' objects.
                        Plots raw growth, fluorescence, or normalized
                        fluorescence data of multiple samples or
                        conditions.
plot.grofit             Generic plot function for 'grofit' objects.
                        Combine different groups of samples into a
                        single plot
plot.parameter          Compare growth parameters between samples or
                        conditions
rdm.data                The function calls the 'baranyi' function to
                        generate curves between time zero and 't' and
                        adds some random noise to the x- and y-axes.
                        The three growth parameters given as input
                        values will be slightly changed to produce
                        different growth curves. The resulting datasets
                        can be used to test the 'growth.workflow'
                        function.
read_data               Read growth and fluorescence data in table
                        format
read_file               Call the appropriate function required to read
                        a table file and return the table as a
                        dataframe object.
run_app                 Run Shiny QurvE App
single_hue_palettes     Single hue palettes for ggplot2
summary.drBootSpline    Generic summary function for drBootSpline
                        objects
summary.drFit           Generic summary function for drFit objects
summary.drFitFLModel    Generic summary function for drFitFLModel
                        objects
summary.drFitModel      Generic summary function for drFitModel objects
summary.drFitSpline     Generic summary function for drFitSpline
                        objects
summary.drFitfl         Generic summary function for drFitfl objects
summary.flBootSpline    Generic summary function for flBootSpline
                        objects
summary.flFit           Generic summary function for flFit objects
summary.flFitLinear     Generic summary function for flFitLinear
                        objects
summary.flFitSpline     Generic summary function for flFitSpline
                        objects
summary.gcBootSpline    Generic summary function for gcBootSpline
                        objects
summary.gcFit           Generic summary function for gcFit objects
summary.gcFitLinear     Generic summary function for gcFitLinear
                        objects
summary.gcFitModel      Generic summary function for gcFitModel objects
summary.gcFitSpline     Generic summary function for gcFitSpline
                        objects
table_group_fluorescence_linear
                        Generate a grouped results table for linear
                        fits with average and standard deviations
table_group_fluorescence_spline
                        Generate a grouped results table for spline
                        fits with average and standard deviations
table_group_growth_linear
                        Generate a grouped results table for linear
                        fits with average and standard deviations
table_group_growth_model
                        Generate a grouped results table for parametric
                        fits with average and standard deviations
table_group_growth_spline
                        Generate a grouped results table for spline
                        fits with average and standard deviations
zipFastener             Combine two dataframes like a zip-fastener
