R: Easy and Accessible Bayesian Measurement Models Using 'brms'

# Easy and Accessible Bayesian Measurement Models Using 'brms'

## Documentation for package ‘bmm’ version 1.3.0

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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)