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grizbayr  

Bayesian Inference for A|B and Bandit Marketing Tests
View on CRAN: Click here


Download and install grizbayr package within the R console
Install from CRAN:
install.packages("grizbayr")

Install from Github:
library("remotes")
install_github("cran/grizbayr")

Install by package version:
library("remotes")
install_version("grizbayr", "1.3.5")



Attach the package and use:
library("grizbayr")
Maintained by
Ryan Angi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-11
Latest Update: 2023-10-09
Description:
Uses simple Bayesian conjugate prior update rules to calculate the win probability of each option, value remaining in the test, and percent lift over the baseline for various marketing objectives. References: Fink, Daniel (1997) "A Compendium of Conjugate Priors" . Stucchio, Chris (2015) "Bayesian A/B Testing at VWO" .
How to cite:
Ryan Angi (2020). grizbayr: Bayesian Inference for A|B and Bandit Marketing Tests. R package version 1.3.5, https://cran.r-project.org/web/packages/grizbayr
Previous versions and publish date:
1.2.1 (2020-05-11 14:30), 1.2.2 (2020-06-04 17:40), 1.2.3 (2020-07-07 17:10), 1.3.0 (2020-08-12 19:50), 1.3.1 (2020-11-12 00:00), 1.3.2 (2022-08-15 20:30), 1.3.3 (2022-12-23 12:10)
Other packages that cited grizbayr R package
View grizbayr citation profile
Other R packages that grizbayr depends, imports, suggests or enhances
Functions, R codes and Examples using the grizbayr R package
Some associated functions: calculate_multi_rev_per_session . calculate_total_cm . estimate_all_values . estimate_lift . estimate_lift_vs_baseline . estimate_loss . estimate_value_remaining . estimate_win_prob . estimate_win_prob_given_posterior . estimate_win_prob_vs_baseline . estimate_win_prob_vs_baseline_given_posterior . find_best_option . grizbayr-package . impute_missing_options . is_prior_valid . is_winner_max . rdirichlet . sample_cm_per_click . sample_conv_rate . sample_cpa . sample_cpc . sample_ctr . sample_from_posterior . sample_multi_rev_per_session . sample_page_views_per_session . sample_response_rate . sample_rev_per_session . sample_session_duration . sample_total_cm . update_beta . update_dirichlet . update_gamma . validate_data_values . validate_input_column . validate_input_df . validate_posterior_samples . validate_priors . validate_wrt_option . 
Some associated R codes: calculate_multi_rev_per_session.R . calculate_total_cm.R . estimate_all_values.R . estimate_lift.R . estimate_lift_vs_baseline.R . estimate_loss.R . estimate_value_remaining.R . estimate_win_prob.R . estimate_win_prob_given_posterior.R . estimate_win_prob_vs_baseline.R . estimate_win_prob_vs_baseline_given_posterior.R . find_best_option.R . grizbayr-package.R . impute_missing_options.R . is_prior_valid.R . is_winner_max.R . rdirichlet.R . sample_cm_per_click.R . sample_conv_rate.R . sample_cpa.R . sample_cpc.R . sample_ctr.R . sample_from_posterior.R . sample_multi_rev_per_session.R . sample_page_views_per_session.R . sample_response_rate.R . sample_rev_per_session.R . sample_session_duration.R . sample_total_cm.R . sysdata.R . update_beta.R . update_dirichlet.R . update_gamma.R . validate_data_values.R . validate_input_column.R . validate_input_df.R . validate_posterior_samples.R . validate_priors.R . validate_wrt_option.R .  Full grizbayr package functions and examples
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