CoreABS: CoreABS Object
In samplr: Compare Human Performance to Sampling Algorithms
CoreABS R Documentation
CoreABS Object
Description
This is the parent R6 class of the Auto-correlated Bayesian Sampler \insertCite@ABS, @zhu2024AutocorrelatedBayesianSamplersamplr. It is a sequential sampling model assuming people draw autocorrelated samples from memory or beliefs, i.e., posterior of hypotheses.
Public fields
n_chainsan integer of the number of chains for the sampler.
nd_timea numeric value of the non-decision time (in seconds).
s_nd_timea numeric value of the inter-trial-variability of the non-decision time (in seconds).
distr_namea character string indicating the type of the posterior hypothesis distribution.
distr_paramsa numeric vector of the additional parameters for the posterior hypothesis distribution.
custom_distra list of functions that define the posterior hypothesis distribution.
custom_starta numeric value of the starting point if "custom_distr" is provided.
sim_resultsa data frame for saving the simulation results.
Methods
Public methods
Method new()
Create a new 'CoreABS' object.
Usage
CoreABS$new(
n_chains,
nd_time,
s_nd_time,
distr_name = NULL,
distr_params = NULL,
custom_distr = NULL,
custom_start = NULL
)
Arguments
n_chainsan integer of the number of chains for the sampler.
nd_timea numeric value of the non-decision time (in seconds).
s_nd_timea numeric value of the inter-trial-variability of the non-decision time (in seconds).
distr_namea character string indicating the type of the posterior hypothesis distribution. The package currently only supports norm, which represents normal distribution.
distr_paramsa numeric vector of the additional parameters for the posterior hypothesis distribution.
custom_distra list of functions that define the posterior hypothesis distribution.
custom_starta numeric value of the starting point if "custom_distr" is provided.
Returns
A new 'CoreABS' object.
Method clone()
The objects of this class are cloneable with this method.
Usage
CoreABS$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
References
\insertAllCited
samplr documentation built on April 4, 2025, 12:30 a.m.
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| CoreABS | R Documentation |
CoreABS Object
Description
This is the parent R6 class of the Auto-correlated Bayesian Sampler \insertCite@ABS, @zhu2024AutocorrelatedBayesianSamplersamplr. It is a sequential sampling model assuming people draw autocorrelated samples from memory or beliefs, i.e., posterior of hypotheses.
Public fields
n_chainsan integer of the number of chains for the sampler.
nd_timea numeric value of the non-decision time (in seconds).
s_nd_timea numeric value of the inter-trial-variability of the non-decision time (in seconds).
distr_namea character string indicating the type of the posterior hypothesis distribution.
distr_paramsa numeric vector of the additional parameters for the posterior hypothesis distribution.
custom_distra list of functions that define the posterior hypothesis distribution.
custom_starta numeric value of the starting point if "custom_distr" is provided.
sim_resultsa data frame for saving the simulation results.
Methods
Public methods
Method new()
Create a new 'CoreABS' object.
Usage
CoreABS$new( n_chains, nd_time, s_nd_time, distr_name = NULL, distr_params = NULL, custom_distr = NULL, custom_start = NULL )
Arguments
n_chainsan integer of the number of chains for the sampler.
nd_timea numeric value of the non-decision time (in seconds).
s_nd_timea numeric value of the inter-trial-variability of the non-decision time (in seconds).
distr_namea character string indicating the type of the posterior hypothesis distribution. The package currently only supports
norm, which represents normal distribution.distr_paramsa numeric vector of the additional parameters for the posterior hypothesis distribution.
custom_distra list of functions that define the posterior hypothesis distribution.
custom_starta numeric value of the starting point if "custom_distr" is provided.
Returns
A new 'CoreABS' object.
Method clone()
The objects of this class are cloneable with this method.
Usage
CoreABS$clone(deep = FALSE)
Arguments
deepWhether to make a deep clone.
References
\insertAllCitedR Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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