Bayesian Hierarchical Analysis of Cognitive Models of Choice

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Documentation for package ‘EMC2’ version 2.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

chain_n	chain_n()
check	Convergence checks for an emc object
check.emc	Convergence checks for an emc object
compare	Information criteria and marginal likelihoods
compare_subject	Information criteria for each participant
contr.anova	Anova style contrast matrix
contr.bayes	Contrast to enforce equal prior variance on each level
contr.decreasing	Contrast to enforce decreasing estimates
contr.increasing	Contrast to enforce increasing estimates
credible	Posterior credible interval tests
credible.emc	Posterior credible interval tests
DDM	The Diffusion Decision Model
design	Specify a design and model
ess_summary	Effective sample size
ess_summary.emc	Effective sample size
fit	Model estimation in EMC2
fit.emc	Model estimation in EMC2
forstmann	Forstmann et al.'s data
gd_summary	Gelman-Rubin statistic
gd_summary.emc	Gelman-Rubin statistic
get_BayesFactor	Bayes Factors
get_data	Get data
get_data.emc	Get data
get_pars	Filter/manipulate parameters from emc object
hypothesis	Within-model hypothesis testing
hypothesis.emc	Within-model hypothesis testing
init_chains	Initialize chains
LBA	The Linear Ballistic Accumulator model
LNR	The Log-Normal Race Model
make_data	Simulate data
make_emc	Make an emc object
make_random_effects	Make random effects
mapped_par	Parameter mapping back to the design factors
merge_chains	Merge samples
pairs_posterior	Plot within-chain correlations
parameters	Returns a parameter type from an emc object as a data frame.
parameters.emc	Returns a parameter type from an emc object as a data frame.
plot.emc	Plot function for emc objects
plot_defective_density	Plot defective densities for each subject and cell
plot_fit	Posterior predictive checks
plot_pars	Plots density for parameters
plot_prior	Title
plot_relations	Plot relations
plot_sbc_ecdf	Plot the ECDF difference in SBC ranks
plot_sbc_hist	Plot the histogram of the observed rank statistics of SBC
posterior_summary	Posterior quantiles
posterior_summary.emc	Posterior quantiles
predict.emc	Generate posterior predictives
prior	Prior specification
profile_plot	Likelihood profile plots
RDM	The Racing Diffusion Model
recovery	Recovery plots
recovery.emc	Recovery plots
run_bridge_sampling	Estimating Marginal likelihoods using WARP-III bridge sampling
run_emc	Custom function for more controlled model estimation
run_sbc	Simulation-based calibration
sampled_p_vector	Get model parameters from a design
samples_LNR	An emc object of an LNR model of the Forstmann dataset using the first three subjects
subset.emc	Shorten an emc object
summary.emc	Summary statistics for emc objects