Nothing
JAGS_extend()
functionautofit_control
argument in JAGS_fit()
: "restarts"
allows to restart model initialization up to restarts
times in case of failuremodel_summary_table()
in case of prior_none()
contrast = "meandif"
to the prior_factor
function which generates identical prior distributions for difference between the grand mean and each factor levelcontrast = "independent"
to the prior_factor
function which generates independent identical prior distributions for each factor levelremove_column
function for removing columns from BayesTools_table
objects without breaking the attributes etc...remove_parameters
argument to model_summary_table()
point
prior distribution as option to prior_factor
with "meandif"
and "orthonormal"
contrastsmarginal_posterior()
function which creates marginal prior and posterior distributions (according to a model formula specification)Savage_Dickey_BF()
function to compute density ratio Bayes factors based on marginal_posterior
objectsmarginal_inference()
function to combine information from marginal_posterior()
and Savage_Dickey_BF()
marginal_estimates_table()
function to summarize marginal_inference()
objectsplot_marginal()
function to visualize marginal_inference()
objectscontrast = "meandif"
is now the default setting for prior_factor
functiontransform_orthonormal
argument in favor of more general transform_factors
argument dummy
contrast/factor attributes to treatment
for consistency (https://github.com/FBartos/BayesTools/issues/23)check_bool()
, check_char()
, check_real()
, check_int()
, and check_list()
do not throw error if allow_NULL = TRUE
student-t
allowed as a prior distribution name
JAGS_evaluate_formula
runjags_estimates_table()
function can now handle factor transformations plot_posterior
function can now handle factor transformations runjags_estimates_table()
function via the remove_parameters
argumentrunjags_estimates_table()
function can now remove factor spike prior distributionsstan_estimates_summary()
functionJAGS_marglik_parameters_formula
functionrunjags_estimates_table
functionensemble_summary_table
and ensemble_diagnostics_table
function can create table without model componentsJAGS_evaluate_formula
for evaluating formulas based on data and posterior samples (for creating predictions etc) JAGS_parameter_names
for transforming formula names into the JAGS syntaxplot_models
implementation for factor predictorsformat_parameter_names
for cleaning parameter names from JAGSmean
, sd
, and var
functions now return the corresponding values for differences from the mean for the orthonormal prior distributionsrunjags_summary_table
function (previous version crashed under other than default fit_JAGS
settings)runjags_summary_table
functionplot_models
functionadd_column
function for extending BayesTools_table
objects without breaking the attributes etc...BayesTools_table
functions with with formula_prefix
argumentmultiply_by
attribute passed with the prior)plot_posterior
(posterior is now plotted over the prior)inclusion_BF
to deal with over/underflow (Issue #9)ensemble_inference_table()
(Issue #11)ensemble_summary_table
(Issue #7)prior_informed
function for creating informed prior distributions based on the past psychological and medical researchprior.plot
can't plot "spike" with plot_type == "ggplot"
(Issue #6)MCMC error/SD
print names in BayesTools tables (Issue #8)JAGS_bridgesampling_posterior
unable to add a parameter via add_parameters
interpret
function for creating textual summaries based on inference and samples objectsplot_posterior
fails with only mu & PET samples (Issue #5)Any scripts or data that you put into this service are public.
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