Temporal Discounting Models

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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