Man pages for PennStateDEPENdLab/fitclock
An R package to fit RT and Reward behavioral data from Michael Frank clock task.
| autocorrPrevRT | lambda: autocorrelation with previous timepoint. |
| betaFastSlow | beta distribution worker class (handled as environment shared... |
| build_design_matrix | Create fmri design matrix for AFNI, FSL, or internal... |
| clockdata_group-class | dataset object for group-level data (multiple subjects with... |
| clockdata_run-class | dataset object for run-level data (multiple trials) |
| clockdata_subject-class | dataset object for subject-level data (multiple runs within a... |
| clock_fit-class | an object to store the results of a model being fit to a... |
| clock_model | Object-oriented implementation of the Frank clock algorithm. |
| clocksubject_1000 | clocksubject_1000 |
| clocksubject_fMRI_008jh | Clock behavioral data for 400 trials across 8 fMRI runs from... |
| concatDesignRuns | Concatenate design matrices for each run to form a single... |
| deltavalue_model | Simple delta rule model for learning expected value across... |
| detrendts | detrend time series up to quadratic trend. Used by... |
| exploreBeta | epsilon: adapt to fast/slow responses in proportion to... |
| fir1Bandpass | function to FIR-1 bandpass filter a signal. Can low- or... |
| fitclock | R package to fit data from variants of Michael Frank clock... |
| fmri.stimulus | convolve a regressor with a hemodynamic response function for... |
| getRTUpdate | general dispatch of RT prediction for a parameter |
| getRTUpdate.default | default RT prediction method for a parameter (not used) |
| getRTUpdate.p_autocorrPrevRT | Compute reaction time contribution for lambda (autocorr with... |
| getRTUpdate.p_epsilonBeta | Compute reaction time contribution for epsilon (explore) |
| getRTUpdate.p_go | Compute reaction time contribution for go (speedup for PPE) |
| getRTUpdate.p_gold | Compute reaction time contribution for nu (adapt toward best... |
| getRTUpdate.p_meanRT | Compute reaction time contribution for K (baseline response... |
| getRTUpdate.p_meanSlowFast | Compute reaction time contribution for rho (slow-fast mean... |
| getRTUpdate.p_nogo | Compute reaction time contribution for noGo (slowdown for... |
| getRTUpdate.p_regressMean | Compute reaction time contribution for xi (regress to mean... |
| getRTUpdate.p_revMomentum | Compute reaction time contribution for gamma (reverse... |
| getRTUpdate.p_stickyChoice | Compute reaction time contribution for stickyChoice (weight... |
| getTheta | internal function to lookup the correct value of theta when a... |
| go | go: speedup of RT for positive prediction error. |
| goForGold | goForGold: adapt RT toward the best reward thus far. |
| hrf_convolve_normalize | convolve a regressor with a normalized HRF with peak... |
| initialize_par | helper function to check parameter values and bounds at... |
| meanRT | K: baseline response speed parameter. |
| meanSlowFast | rho: Adapt toward fast responses if these have been better... |
| noGo | noGo: slowdown of RT for negative prediction error. |
| reset_workspace | Generic dispatch to reset relevant variables in the workspace... |
| reset_workspace.param | Generic reset method for all parameters. |
| reset_workspace.p_epsilonBeta | reset workspace for epsilonBeta parameter |
| reset_workspace.p_go | reset workspace for go parameter |
| reset_workspace.p_gold | reset workspace for goForGold parameter |
| reset_workspace.p_meanSlowFast | reset workspace for rho parameter |
| reset_workspace.p_nogo | reset workspace for noGo parameter |
| reset_workspace.p_stickyChoice | reset workspace for stickyChoice parameter |
| revMomentum | gamma: reverse momentum parameter, adjust RTs incrementally... |
| runmean | compute a moving average smooth over a time series (here, a... |
| stickyChoice | stickyChoice: weight and decay parameters to scale effect of... |
| updateBetaDists | updates counts of beta distributions for fast and slow... |
| visualizeDesignMatrix | Visualize design matrix, including event onset times and run... |
