NEWS.md
prior_informed()
functionbridge_object()
(fixes: https://github.com/FBartos/BayesTools/issues/28)Na/NaN
tests for check_
functions (fixes: https://github.com/FBartos/BayesTools/issues/26)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
argumentdummy
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 transformationsplot_posterior
function can now handle factor transformationsrunjags_estimates_table()
function via the remove_parameters
argumentrunjags_estimates_table()
function can now remove factor spike prior distributionsplot_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
functioninclusion_BF
to deal with over/underflow (Issue #9)ensemble_inference_table()
(Issue #11)ensemble_summary_table
(Issue #7)plot_posterior
fails with only mu & PET samples (Issue #5)