R: Temporal Discounting Models

# Temporal Discounting Models

## Documentation for package ‘tempodisco’ version 2.1.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

adj_amt_indiffs | Indifference points from adjusting amount procedure
adj_amt_sim | Simulated adjusting amount procedure
attention_checks | Test for failed attention checks
AUC | Area under the curve (AUC)
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
discount_function | Get discount function from model
ED50 | Median effective delay
fitted.td_bcnm | Get fitted values
fitted.td_ddm | Get fitted values
fitted.td_ipm | Get fitted values
get_available_discount_functions | Get all available pre-defined discount functions
indiffs | Get model-free indifference points
invariance_checks | Check for invariant responding
kirby_consistency | Compute consistency score
kirby_score | Kirby MCQ-style scoring
logLik.td_bcnm | Extract log-likelihood
logLik.td_ddm | Extract log-likelihood
logLik.td_ipm | Extract log-likelihood
most_consistent_indiffs | Experimental method for computing indifference points
nonsys | Check for non-systematic discounting
plot.td_um | Plot models
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
td_bclm | Temporal discounting binary choice linear model
td_bcnm | Temporal discounting binary choice nonlinear model
td_bc_single_ptpt | Binary choice data for a single participant
td_bc_study | Binary choice data for a study
td_ddm | Temporal discounting drift diffusion model
td_fn | Predefined or custom discount function
td_ipm | Temporal discounting indifference point model
td_ip_simulated_ptpt | Simulated indifference point data for a single participant
wileyto_score | Wileyto score a questionnaire