Man pages for bmm
Easy and Accessible Bayesian Measurement Models Using 'brms'
| adjust_ezdm_accuracy | Adjust Accuracy Counts for Contamination (deprecated) |
| aggregate_sdt_cdp_data | Aggregate long-format Remember/Know data for 'sdt_cdp()' |
| apply_links | Apply link functions for parameters in a formula or... |
| auc_sdt | Area under the ROC curve from a fitted SDT model |
| bmf2bf | Convert 'bmmformula' objects to 'brmsformula' objects |
| bmm | Fit Bayesian Measurement Models |
| bmm_data_check | Human-readable pre-fit data report for bmm models |
| bmmformula | Create formula for predicting parameters of a 'bmmodel' |
| bmm_models | Measurement models available in 'bmm' |
| bmm_options | View or change global bmm options |
| bmm-package | Easy and Accesible Bayesian Measurement Models Using 'brms' |
| bmm_setup | Check whether this machine can fit bmm models |
| broeder_schuetz_2009_e3 | Recognition ROC data from Broeder & Schuetz (2009, Experiment... |
| calc_error_relative_to_nontargets | Calculate response error relative to non-target values |
| check_data | Generic S3 method for checking data based on model type |
| check_formula | Generic S3 method for checking if the formula is valid for... |
| check_model | Generic S3 method for checking if the model is supported and... |
| circle_transform | Convert degrees to radians or radians to degrees. |
| conditional_effects.bmmfit | Conditional Effects for BMM Models |
| configure_model | Generic S3 method for configuring the model to be fit by brms |
| configure_prior | Generic S3 method for configuring the default prior for a... |
| construct_m3_act_funs | Get Activation Functions for different M3 versions |
| c_parametrizations | Convert between parametrizations of the c parameter of the... |
| create_initfun | Generic S3 method for creating an initial values function |
| cswald | Censored-Shifted Wald Model |
| cswald_dist | Distribution functions for the censored shifted Wald model... |
| data_check_finding | Construct a single finding for a pre-fit data report |
| data_check_findings | Generic S3 method for model-specific pre-fit data findings |
| data_color_judgement_task | Example Data from a Color Judgement Task |
| ddm | Diffusion Decision Model |
| ddm_dist | Distribution function for the Diffusion Decision Model... |
| default_prior.bmmformula | Get Default priors for Measurement Models specified in BMM |
| emmeans-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 |
| flag_contaminant_rts | Flag contaminant reaction times using mixture modeling |
| imm | Interference measurement model by Oberauer and Lin (2017). |
| IMMdist | Distribution functions for the Interference Measurement Model... |
| k2sd | Transform kappa of the von Mises distribution to the circular... |
| latent_sdt | Model-implied latent decision-variable distributions |
| m3 | The Multinomial / Memory Measurement Model |
| m3dist | Distribution functions for the Memory Measurement Model (M3) |
| m3_gauss_logp | Category log-probability under the Gaussian choice rule of... |
| meyer_grant_jakob_2025 | Ranking recognition data from Meyer-Grant & Jakob (2025) |
| mixture2p | Two-parameter mixture model by Zhang and Luck (2008). |
| mixture2p_dist | Distribution functions for the two-parameter mixture model... |
| mixture3p | Three-parameter mixture model by Bays et al (2009). |
| mixture3p_dist | Distribution functions for the three-parameter mixture model... |
| model_citation | References for a measurement model |
| mpt | Multinomial Processing Tree (MPT) models |
| mpt_data_reshape | Reshape wide MPT frequency tables to the long format of... |
| mptdist | Distribution functions for Multinomial Processing Tree (MPT)... |
| mpt_from_eqn | Create an MPT model from an EQN model file |
| mpt_from_string | Create an MPT model from an MPTinR-style model string |
| mpt_tree | Create a tree for a Multinomial Processing Tree (MPT) model |
| mratio | Metacognitive efficiency (M-ratio) from a fitted meta-d' SDT... |
| native_parameters | Posterior draws of model parameters on the native scale |
| native_transform | Transform parameter draws from the sampling scale to the... |
| oberauer_lewandowsky_2019_e1 | Data from Experiment 1 reported by Oberauer & Lewandowsky... |
| oberauer_lin_2017 | Data from Experiment 1 reported by Oberauer & Lin (2017) |
| parameter_info | Get parameter information for a bmm model |
| parameters | Deprecated: use 'parameter_info()' |
| plot.bmm_sdt_auc | Plot the posterior AUC distribution from a fitted SDT model |
| plot.bmm_sdt_latent | Plot the latent decision-variable distributions of an SDT... |
| plot.bmm_sdt_roc | Plot a model-implied SDT ROC curve |
| plot.mpt_tree | Plot the structure of MPT trees |
| posterior_epred.bmmfit | Expected response of a fitted bmm model |
| postprocess_brm | Generic S3 method for postprocessing the fitted brm model |
| pp_check.bmmfit | Posterior predictive check for bmmfit objects |
| pp_check_vars | List the posterior predictive checks available for a model... |
| pp_observables | Declare the observables of a bmm model for posterior... |
| ppp | Posterior predictive p-values for count models |
| print_model_details | Generic S3 method for model-specific lines in 'print()' of a... |
| print_pretty_models_md | Generate a markdown list of the measurement models available... |
| prior_info | Priors of a fitted bmm model and where they came from |
| rejection_sampling | Rejection Sampling |
| restructure.bmmfit | Restructure Old 'bmmfit' Objects |
| revert_postprocess_brm | Generic S3 method for reverting any postprocessing of the... |
| roc_observed | Observed ROC points from a fitted SDT model |
| roc_sdt | Model-implied ROC curve from a fitted SDT model |
| sdm | Signal Discrimination Model (SDM) by Oberauer (2023) |
| SDMdist | Distribution functions for the Signal Discrimination Model... |
| sdt_cdp | Continuous Dual-Process Signal Detection Theory Model |
| sdt_cdp_dist | Distribution functions for Continuous Dual-Process SDT (CDP) |
| sdt_cdp_logmu | CDP category log-probability (multinomial logit) |
| SDTdist | Utility functions for Signal Detection Theory |
| sdt_dpsdt_dist | Distribution functions for dual-process SDT (DPSDT) |
| sdt_mafc | m-Alternative Forced Choice Signal Detection Theory Model |
| sdt_mafc_dist | Distribution functions for m-AFC SDT |
| sdt_metad_dist | Distribution functions for meta-d' SDT |
| sdt_ranking | Ranking Signal Detection Theory Model |
| sdt_ranking_dist | Distribution functions for Ranking SDT |
| sdt_ranking_logmu | Ranking SDT rank log-probability (multinomial logit) |
| sdt_rating | Confidence Rating Signal Detection Theory Model |
| sdt_rating_dist | Distribution functions for Confidence Rating SDT |
| sdt_rating_logmu | Rating SDT category log-probability (multinomial logit) |
| sdt_sensitivity | Sensitivity on the noise, signal, or root-mean-square scale |
| sdt_thresholds | Latent decision thresholds from a fitted rating SDT model |
| sdt_yn | Yes/No Signal Detection Theory Model |
| sdt_yn_dist | Distribution functions for Yes/No SDT |
| softmax | Softmax function and its inverse |
| stancode.bmmformula | Generate Stan code for bmm models |
| standata.bmmformula | Stan data for 'bmm' models |
| summary.bmmfit | Create a summary of a fitted model represented by a 'bmmfit'... |
| supported_models | Deprecated: use 'bmm_models()' |
| update.bmmfit | Update a bmm model |
| use_model_template | Create a file with a template for adding a new model (for... |
| 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) |
