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baggr

Bayesian Aggregate Treatment Effects

Running and comparing meta-analyses of data with hierarchical Bayesian models in Stan, including convenience functions for formatting data, plotting and pooling measures specific to meta-analysis.

Functions (41)

baggr

Bayesian aggregate treatment effects model

baggr-package

baggr - a package for Bayesian meta-analysis

baggr_compare

(Run and) compare multiple baggr models

baggr_plot

Plotting method in baggr package

baggr_theme_set

Set, get, and replace themes for baggr plots

convert_inputs

Convert inputs for baggr models

effect_draw

Make posterior draws for treatment effect

effect_plot

Plot posterior distribution for treatment effect

fixed_effects

Effects of covariates on outcome in baggr models

forest_plot

Draw a forest plot for a baggr model

get_n_samples

Extract number of samples from a baggr object

group_effects

Extract baggr study effects

is.baggr_cv

Check if something is a baggr_cv object

loo_compare

Compare fitted models on loo

loocv

Leave one group out cross-validation for baggr models

microcredit

7 studies on effect of microcredit supply

microcredit_simplified

Simplified version of the microcredit dataset.

mint

"Mean and interval" function, including other summaries, calculated for matrix (by column) or vector

plot.baggr

Generic plot for baggr package

plot.baggr_compare

Plot method for baggr_compare models

pooling

Pooling metrics for baggr

pp_check.baggr

Posterior predictive checks for baggr model

predict.baggr

Predict method for baggr objects

predict_mutau

Predict function for the mu & tau model

predict_quantiles

Predict function for the quantiles model

predict_rubin

Predict function for the rubin model

predict_unknown

Predict method for model that is unknown or not implemented

prepare_ma

Convert from individual to summary data in meta-analyses

prepare_prior

Prepare prior values for Stan models in baggr

print.baggr

S3 print method for objects of class baggr (model fits)

print.baggr_compare

Print method for baggr_compare models

print.baggr_cv

Print baggr cv objects nicely

print.compare_baggr_cv

Print baggr_cv comparisons

print.plot_list

Print list of baggr plots

priors

Prior distributions in baggr

rubin_data

Make model matrix for the rubin data

schools

8 schools example

set_prior_val

Add prior values to Stan input for baggr

show_model

Show Stan code for baggr models or objects

stop_not_implemented

Stop with informative error

treatment_effect

Average treatment effect in a baggr model

baggr

Bayesian Aggregate Treatment Effects

v0.4.0

GPL (>= 3)

Authors

Witold Wiecek [cre, aut], Rachael Meager [aut], Brice Green [ctb] (predict(), loo_compare, many visuals), Trustees of Columbia University [cph] (tools/make_cc.R)

Initial release

baggr

Functions (41)

baggr

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