Man pages for armanabraham/chb
Choice history biases
| AssignCondition | Assign condition to sessions |
| BestWeightsByLambda | Find best weights |
| BiasAfterRandomization | Compute weights after randomizing trials or responses |
| BuilDataForGLM | Prepare data for GLM analysis |
| ClassifyRawData | Classify raw data |
| ConditionLabels | Labels assigned to each experimental condition |
| CorrelateAgeAndBias | Compute correlation between age and bias |
| CorrelationMatrixOfParameters | Compute correlation matrices for each parameter of the GLM... |
| CV.glmnet | Stub for glmnet cross-validation that accepts a formula |
| FilterRawData | Filter out unnecessary or pilot data |
| FitLogit | Fit probit function |
| FitProbit | Fit probit psychometric function |
| FitWeibull | Fit Weibull function |
| FitWeibullLogContrast | Fit Weibull after log transforming contrast values |
| ForestPlot | Plot model parameters as a distance from vertical |
| Glmnet | Stub for glmnet that accepts a formula |
| HistoryAdaptationScatterplot | History scatterplot that shows how history biases adapt |
| HistoryScatterplotByEducation | Scatterplot of choice history weights grouped by Education |
| HistoryWeightsScatterplot | A scatterplot of choice history biases |
| LapseRateFromHighestContrast | Compute lapse rate from highest contrast intensity |
| Likelihood | Return root means square error Log-likelihood of choosing... |
| LoadData | Function to load data. It needs a vector containing full... |
| PlotContrastAndHistoryWeights | Plot both contrast and choice history weights |
| PlotContrastPairs | Function to plot stimulus intensities during switching or... |
| PlotPsychometricCurves | Plot psychometric curves |
| PlotSensitivityDecline | Show decline in visual sensitivity from choice history biases |
| PlotSparklineOfRun | Plot whole run as Tuft's sparklines of left/right choice and... |
| PlotThVsBias | Plot contrast threshold vs subject bias |
| PlotVIFs | Function to plot Variance Inflation Factor (VIF) |
| PrepareRawData | Enrich rawData with helper columns |
| PrepareTrials | Prepare a dataframe with a given contrast intensity |
| ProbitThreshold | Compute contrast threshold using fitted probit model |
| ProportionRightwardResponses | Compute proportion rightward responses |
| RegularizedRegression | Fit model parameters using regularized regression |
| SensitivtyDeclineMatrix | Compute decline in sensitivity as a function of choice... |
| SimulateNoBiasVsSubjectBias | Estimate slope and threshold with and without history biases |
| SimulateOneSubject | Simulates responses of one subject |
| SimulateResponses | Simulate responses using given model weights |
| SimulateSubjectResponses | Simulate subject responses for different set of failure... |
| SortParams | Sort parameters of the model in intuitive way |
| StimulusSideSequences | Compute length of sequences on left or right sides |
| SubjectDemographics | Subject info |
| ThAndSlopeForSimData | Compute threshold and slope from simulated trials |
| ThSlopeAndLapse | Get threshold, slope and lapse rate from glmData |
| WeibullThAndSlope | Estimate threshold and slope using Weibull |
| WeightsWithAllLambdas | Model weight for each lambda |
