Package: ggdmcModel 0.2.9.0

ggdmcModel: Model Builders for 'ggdmc' Package

A suite of tools for specifying and examining experimental designs related to choice response time models (e.g., the Diffusion Decision Model). This package allows users to define how experimental factors influence one or more model parameters using R-style formula syntax, while also checking the logical consistency of these associations. Additionally, it integrates with the 'ggdmc' package, which employs Differential Evolution Markov Chain Monte Carlo (DE-MCMC) sampling to optimise model parameters. For further details on the model-building approach, see Heathcote, Lin, Reynolds, Strickland, Gretton, and Matzke (2019) <doi:10.3758/s13428-018-1067-y>.

Authors:Yi-Shin Lin [aut, cre]

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manual.pdf |manual.html✨
card.svg |card.png
ggdmcModel/json (API)

# Install 'ggdmcModel' in R:
install.packages('ggdmcModel', repos = c('https://yxlin.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/yxlin/ggdmcmodel/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

4.26 score 3 packages 4 scripts 139 downloads 14 exports 3 dependencies

Last updated from:ace2516241. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE112
linux-devel-x86_64NOTE97
source / vignettesOK169
linux-release-arm64NOTE121
linux-release-x86_64NOTE119
macos-release-arm64NOTE150
macos-release-x86_64NOTE331
macos-oldrel-arm64NOTE194
macos-oldrel-x86_64NOTE270
windows-develNOTE103
windows-releaseNOTE135
windows-oldrelNOTE96
wasm-releaseOK110

Exports:bind_condition2parameters_rbuild_cell_names_rbuild_model_boolean_rBuildDMIBuildModelget_factor_cells_rget_node_1_index_rget_pnamesget_stimulus_level_ris_core_parameter_x_conditionis_parameter_x_conditionprint_parameter_mapsplit_parameter_x_conditiontable_parameters

Dependencies:ggdmcHeadersRcppRcppArmadillo

Readme and manuals

Help Manual

Help pageTopics
Find All Possible Conditionsbuild_cell_names_r
Build Model Booleanbuild_model_boolean_r
Build Data Model InstanceBuildDMI
Build a model objectBuildModel
An S4 Class Representing a Data-Model Instancedmi-class
Get Index Mapping for the Node 1 Accumulatorget_node_1_index_r
Get Free Parameter Names from Modelget_pnames
Parameter Mapping and Condition Processing Utilitiesget_factor_cells_r get_stimulus_level_r is_core_parameter_x_condition is_parameter_x_condition parameter_mapping_functions
An S4 class Representing a Cognitive Model Object.model-class
Map Experimental Conditions to Model Parametersbind_condition2parameters_r split_parameter_x_condition
Tabulate Model Parametermodel_parameter_utils print_parameter_map table_parameters