| bmm-package |
Easy and Accesible Bayesian Measurement Models Using 'brms' |
| adjust_ezdm_accuracy |
Adjust Accuracy Counts for Contamination |
| apply_links |
Apply link functions for parameters in a formula or bmmformula |
| bmf |
Create formula for predicting parameters of a 'bmmodel' |
| bmm |
Fit Bayesian Measurement Models |
| bmmformula |
Create formula for predicting parameters of a 'bmmodel' |
| bmm_options |
View or change global bmm options |
| calc_error_relative_to_nontargets |
Calculate response error relative to non-target values |
| circle_transform |
Convert degrees to radians or radians to degrees. |
| conditional_effects |
Conditional Effects for BMM Models |
| conditional_effects.bmmfit |
Conditional Effects for BMM Models |
| construct_m3_act_funs |
Get Activation Functions for different M3 versions |
| cswald |
Censored-Shifted Wald Model |
| cswald_dist |
Distribution functions for the censored shifted Wald model ('cswald') |
| c_bessel2sqrtexp |
Convert between parametrizations of the c parameter of the SDM distribution |
| c_parametrizations |
Convert between parametrizations of the c parameter of the SDM distribution |
| c_sqrtexp2bessel |
Convert between parametrizations of the c parameter of the SDM distribution |
| data_color_judgement_task |
Example Data from a Color Judgement Task |
| dcswald |
Distribution functions for the censored shifted Wald model ('cswald') |
| dddm |
Distribution function for the Diffusion Decision Model ('ddm') |
| ddm |
Diffusion Decision Model |
| ddm_dist |
Distribution function for the Diffusion Decision Model ('ddm') |
| default_prior |
Get Default priors for Measurement Models specified in BMM |
| default_prior.bmmformula |
Get Default priors for Measurement Models specified in BMM |
| deg2rad |
Convert degrees to radians or radians to degrees. |
| dezdm |
Distribution functions for the EZ-Diffusion Model (ezdm) |
| dimm |
Distribution functions for the Interference Measurement Model (IMM) |
| dm3 |
Distribution functions for the Memory Measurement Model (M3) |
| dmixture2p |
Distribution functions for the two-parameter mixture model (mixture2p) |
| dmixture3p |
Distribution functions for the three-parameter mixture model (mixture3p) |
| dsdm |
Distribution functions for the Signal Discrimination Model (SDM) |
| emmeans-bmmfit |
emmeans support for bmmfit objects |
| emm_basis.bmmfit |
emmeans support for bmmfit objects |
| extract_parameter_dimensions |
Extract dimension from parameters in STAN parameter block |
| extract_stan_blocks |
Extract code from different STAN program blocks |
| ezdm |
EZ-Diffusion Model |
| ezdm_dist |
Distribution functions for the EZ-Diffusion Model (ezdm) |
| ezdm_summary_stats |
Compute Robust Summary Statistics for EZ-Diffusion Model |
| fit_info |
Extract information from a brmsfit object |
| fit_model |
Fit Bayesian Measurement Models |
| flag_contaminant_rts |
Flag contaminant reaction times using mixture modeling |
| imm |
Interference measurement model by Oberauer and Lin (2017). |
| IMMabc |
Interference measurement model by Oberauer and Lin (2017). |
| IMMbsc |
Interference measurement model by Oberauer and Lin (2017). |
| IMMdist |
Distribution functions for the Interference Measurement Model (IMM) |
| IMMfull |
Interference measurement model by Oberauer and Lin (2017). |
| k2sd |
Transform kappa of the von Mises distribution to the circular standard deviation |
| m3 |
The Multinomial / Memory Measurement Model |
| m3dist |
Distribution functions for the Memory Measurement Model (M3) |
| mixture2p |
Two-parameter mixture model by Zhang and Luck (2008). |
| mixture2p_dist |
Distribution functions for the two-parameter mixture model (mixture2p) |
| mixture3p |
Three-parameter mixture model by Bays et al (2009). |
| mixture3p_dist |
Distribution functions for the three-parameter mixture model (mixture3p) |
| oberauer_lewandowsky_2019_e1 |
Data from Experiment 1 reported by Oberauer & Lewandowsky (2019) |
| oberauer_lin_2017 |
Data from Experiment 1 reported by Oberauer & Lin (2017) |
| parameters |
Get parameter information for a bmm model |
| parameters.bmmfit |
Get parameter information for a bmm model |
| parameters.bmmodel |
Get parameter information for a bmm model |
| pcswald |
Distribution functions for the censored shifted Wald model ('cswald') |
| pimm |
Distribution functions for the Interference Measurement Model (IMM) |
| pmixture2p |
Distribution functions for the two-parameter mixture model (mixture2p) |
| pmixture3p |
Distribution functions for the three-parameter mixture model (mixture3p) |
| pp_check |
Posterior predictive check for bmmfit objects |
| pp_check.bmmfit |
Posterior predictive check for bmmfit objects |
| psdm |
Distribution functions for the Signal Discrimination Model (SDM) |
| qcswald |
Distribution functions for the censored shifted Wald model ('cswald') |
| qimm |
Distribution functions for the Interference Measurement Model (IMM) |
| qmixture2p |
Distribution functions for the two-parameter mixture model (mixture2p) |
| qmixture3p |
Distribution functions for the three-parameter mixture model (mixture3p) |
| qsdm |
Distribution functions for the Signal Discrimination Model (SDM) |
| rad2deg |
Convert degrees to radians or radians to degrees. |
| rcswald |
Distribution functions for the censored shifted Wald model ('cswald') |
| rddm |
Distribution function for the Diffusion Decision Model ('ddm') |
| recover_data.bmmfit |
emmeans support for bmmfit objects |
| rejection_sampling |
Rejection Sampling |
| restructure |
Restructure Old 'bmmfit' Objects |
| restructure.bmmfit |
Restructure Old 'bmmfit' Objects |
| rezdm |
Distribution functions for the EZ-Diffusion Model (ezdm) |
| rimm |
Distribution functions for the Interference Measurement Model (IMM) |
| rm3 |
Distribution functions for the Memory Measurement Model (M3) |
| rmixture2p |
Distribution functions for the two-parameter mixture model (mixture2p) |
| rmixture3p |
Distribution functions for the three-parameter mixture model (mixture3p) |
| rsdm |
Distribution functions for the Signal Discrimination Model (SDM) |
| sdm |
Signal Discrimination Model (SDM) by Oberauer (2023) |
| SDMdist |
Distribution functions for the Signal Discrimination Model (SDM) |
| sdmSimple |
Signal Discrimination Model (SDM) by Oberauer (2023) |
| softmax |
Softmax function and its inverse |
| softmaxinv |
Softmax function and its inverse |
| stancode |
Generate Stan code for bmm models |
| stancode.bmmformula |
Generate Stan code for bmm models |
| standata |
Stan data for 'bmm' models |
| standata.bmmformula |
Stan data for 'bmm' models |
| summary.bmmfit |
Create a summary of a fitted model represented by a 'bmmfit' object |
| supported_models |
Measurement models available in 'bmm' |
| update.bmmfit |
Update a bmm model |
| validate_fast_guesses |
Test if fast contaminants show random guessing behavior |
| wrap |
Wrap angles that extend beyond (-pi;pi) |
| zhang_luck_2008 |
Data from Experiment 2 reported by Zhang & Luck (2008) |
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