Easy and Accessible Bayesian Measurement Models Using 'brms'
Apply link functions for parameters in a formula or bmmformula
Convert bmmformula objects to brmsformula objects
View or change global bmm options
Easy and Accesible Bayesian Measurement Models Using 'brms'
Fit Bayesian Measurement Models
Create formula for predicting parameters of a bmmodel
Convert between parametrizations of the c parameter of the SDM distrib...
Calculate response error relative to non-target values
Generic S3 method for checking data based on model type
Generic S3 method for checking if the formula is valid for the specifi...
Generic S3 method for checking if the model is supported and model pre...
Convert degrees to radians or radians to degrees.
Generic S3 method for configuring the model to be fit by brms
Generic S3 method for configuring the default prior for a bmmodel
Get Activation Functions for different M3 versions
Get Default priors for Measurement Models specified in BMM
Extract information from a brmsfit object
Interference measurement model by Oberauer and Lin (2017).
Distribution functions for the Interference Measurement Model (IMM)
Transform kappa of the von Mises distribution to the circular standard...
The Multinomial / Memory Measurement Model
Distribution functions for the Memory Measurement Model (M3)
Distribution functions for the two-parameter mixture model (mixture2p)
Two-parameter mixture model by Zhang and Luck (2008).
Distribution functions for the three-parameter mixture model (mixture3...
Three-parameter mixture model by Bays et al (2009).
Generic S3 method for postprocessing the fitted brm model
Generate a markdown list of the measurement models available in bmm
Rejection Sampling
Restructure Old bmmfit Objects
Generic S3 method for reverting any postprocessing of the fitted brm m...
Signal Discrimination Model (SDM) by Oberauer (2023)
Distribution functions for the Signal Discrimination Model (SDM)
Softmax function and its inverse
Generate Stan code for bmm models
Stan data for bmm models
Create a summary of a fitted model represented by a bmmfit object
Measurement models available in bmm
Update a bmm model
Create a file with a template for adding a new model (for developers)
Wrap angles that extend beyond (-pi;pi)
Fit computational and measurement models using full Bayesian inference. The package provides a simple and accessible interface by translating complex domain-specific models into 'brms' syntax, a powerful and flexible framework for fitting Bayesian regression models using 'Stan'. The package is designed so that users can easily apply state-of-the-art models in various research fields, and so that researchers can use it as a new model development framework. References: Frischkorn and Popov (2023) <doi:10.31234/osf.io/umt57>.
Useful links