Package index • tempodisco

Temporal discounting models

td_ipm(): Temporal discounting indifference point model

td_bclm(): Temporal discounting binary choice linear model

td_bcnm(): Temporal discounting binary choice nonlinear model

td_ddm(): Temporal discounting drift diffusion model

Discount functions

td_fn(): Predefined or custom discount function

discount_function(): Get discount function from model

Scoring response data

adj_amt_indiffs(): Indifference points from adjusting amount procedure

indiffs(): Get model-free indifference points

kirby_score(): Kirby MCQ-style scoring

wileyto_score(): Wileyto score a questionnaire

most_consistent_indiffs(): Experimental method for computing indifference points

Data quality checks

nonsys(): Check for non-systematic discounting

attention_checks(): Test for failed attention checks

kirby_consistency(): Compute consistency score

invariance_checks(): Check for invariant responding

Model-agnostic measures of discounting

AUC(): Area under the curve (AUC)

ED50(): Median effective delay

Methods

plot(<td_um>): Plot models

coef(<td_bclm>): Extract model coefficients

coef(<td_bcnm>): Extract model coefficients

coef(<td_ddm>): Extract model coefficients

coef(<td_ipm>): Extract model coefficients

deviance(<td_bcnm>): Model deviance

deviance(<td_ddm>): Model deviance

fitted(<td_bcnm>): Get fitted values

fitted(<td_ddm>): Get fitted values

fitted(<td_ipm>): Get fitted values

logLik(<td_bcnm>): Extract log-likelihood

logLik(<td_ddm>): Extract log-likelihood

logLik(<td_ipm>): Extract log-likelihood

predict(<td_bclm>): Model Predictions

predict(<td_bcnm>): Model Predictions

predict(<td_ddm>): Model Predictions

predict(<td_ipm>): Model Predictions

residuals(<td_bcnm>): Residuals from temporal discounting model

residuals(<td_ipm>): Residuals from temporal discounting model

Datasets

td_bc_single_ptpt: Binary choice data for a single participant

adj_amt_sim: Simulated adjusting amount procedure

td_ip_simulated_ptpt: Simulated indifference point data for a single participant

td_bc_study: Binary choice data for a study