Easy and Accessible Bayesian Measurement Models Using 'brms'

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Documentation for package ‘bmm’ version 1.4.1

• DESCRIPTION file
• Package NEWS
• Package README

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A B C D E F I K L M N O P Q R S U V W Z

bmm-package

Easy and Accesible Bayesian Measurement Models Using 'brms'

-- A --

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 bmmformula
auc_sdt	Area under the ROC curve from a fitted SDT model

-- B --

bmf	Create formula for predicting parameters of a 'bmmodel'
bmm	Fit Bayesian Measurement Models
bmmformula	Create formula for predicting parameters of a 'bmmodel'
bmm_data_check	Human-readable pre-fit data report for bmm models
bmm_models	Measurement models available in 'bmm'
bmm_options	View or change global bmm options
bmm_setup	Check whether this machine can fit bmm models
broeder_schuetz_2009_e3	Recognition ROC data from Broeder & Schuetz (2009, Experiment 3)

-- C --

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

-- D --

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)
dmpt	Distribution functions for Multinomial Processing Tree (MPT) models
dsdm	Distribution functions for the Signal Discrimination Model (SDM)
dsdt_cdp	Distribution functions for Continuous Dual-Process SDT (CDP)
dsdt_dpsdt	Distribution functions for dual-process SDT (DPSDT)
dsdt_mafc	Distribution functions for m-AFC SDT
dsdt_metad	Distribution functions for meta-d' SDT
dsdt_ranking	Distribution functions for Ranking SDT
dsdt_rating	Distribution functions for Confidence Rating SDT
dsdt_yn	Distribution functions for Yes/No SDT

-- E --

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

-- F --

fitted.bmmfit	Expected response of a fitted bmm 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

-- I --

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).

-- K --

k2sd	Transform kappa of the von Mises distribution to the circular standard deviation

-- L --

latent_sdt

Model-implied latent decision-variable distributions

-- M --

m3	The Multinomial / Memory Measurement Model
m3dist	Distribution functions for the Memory Measurement Model (M3)
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 (mixture2p)
mixture3p	Three-parameter mixture model by Bays et al (2009).
mixture3p_dist	Distribution functions for the three-parameter mixture model (mixture3p)
model_citation	References for a measurement model
mpt	Multinomial Processing Tree (MPT) models
mptdist	Distribution functions for Multinomial Processing Tree (MPT) models
mpt_data_reshape	Reshape wide MPT frequency tables to the long format of 'bmm()'
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 model

-- N --

native_parameters	Posterior draws of model parameters on the native scale
native_transform	Transform parameter draws from the sampling scale to the native scale
native_transform.default	Transform parameter draws from the sampling scale to the native scale
native_transform.non_targets	Transform parameter draws from the sampling scale to the native scale

-- O --

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)

-- P --

parameter_info	Get parameter information for a bmm model
parameter_info.bmmfit	Get parameter information for a bmm model
parameter_info.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)
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 model
plot.bmm_sdt_roc	Plot a model-implied SDT ROC curve
plot.mpt	Plot the structure of MPT trees
plot.mpt_tree	Plot the structure of MPT trees
pmixture2p	Distribution functions for the two-parameter mixture model (mixture2p)
pmixture3p	Distribution functions for the three-parameter mixture model (mixture3p)
posterior_epred.bmmfit	Expected response of a fitted bmm model
ppp	Posterior predictive p-values for count models
ppp.bmmfit	Posterior predictive p-values for count models
pp_check	Posterior predictive check for bmmfit objects
pp_check.bmmfit	Posterior predictive check for bmmfit objects
pp_check_vars	List the posterior predictive checks available for a model fit
prior_info	Priors of a fitted bmm model and where they came from
psdm	Distribution functions for the Signal Discrimination Model (SDM)

-- Q --

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)

-- R --

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)
rmpt	Distribution functions for Multinomial Processing Tree (MPT) models
roc_observed	Observed ROC points from a fitted SDT model
roc_sdt	Model-implied ROC curve from a fitted SDT model
rsdm	Distribution functions for the Signal Discrimination Model (SDM)
rsdt_cdp	Distribution functions for Continuous Dual-Process SDT (CDP)
rsdt_dpsdt	Distribution functions for dual-process SDT (DPSDT)
rsdt_mafc	Distribution functions for m-AFC SDT
rsdt_metad	Distribution functions for meta-d' SDT
rsdt_ranking	Distribution functions for Ranking SDT
rsdt_rating	Distribution functions for Confidence Rating SDT
rsdt_yn	Distribution functions for Yes/No SDT

-- S --

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)
SDTdist	Utility functions for Signal Detection Theory
sdt_bias	Utility functions for Signal Detection Theory
sdt_cdp	Continuous Dual-Process Signal Detection Theory Model
sdt_cdp_dist	Distribution functions for Continuous Dual-Process SDT (CDP)
sdt_criterion	Utility functions for Signal Detection Theory
sdt_d	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_rating	Confidence Rating Signal Detection Theory Model
sdt_rating_dist	Distribution functions for Confidence Rating SDT
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
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

-- U --

update.bmmfit

Update a bmm model

-- V --

validate_fast_guesses

Test if fast contaminants show random guessing behavior

-- W --

wrap	Wrap angles that extend beyond (-pi;pi)

-- Z --

zhang_luck_2008

Data from Experiment 2 reported by Zhang & Luck (2008)