BTYD2.4.3 package

BG/BB Posterior Mean Transaction Rate

BG/BB Discounted Expected Residual Transactions using a recency-freque...

BG/BB Log-Likelihood using a recency-frequency matrix

BG/BB Posterior Mean Dropout Rate using a recency-frequency matrix

BG/BB Posterior Mean Transaction Rate using a recency-frequency matrix

BG/NBD Log-Likelihood Wrapper

BG/NBD Conditional Expected Transactions

BG/BB Posterior Mean (l,m)th Product Moment

Add Logs

BG/BB Conditional Expected Transactions

BG/BB Discounted Expected Residual Transactions

BG/BB Parameter estimation

BG/BB Expectation

BG/BB Heatmap of Holdout Period Expected Transactions

BG/BB Log-Likelihood

BG/BB P(Alive)

BG/BB Plot Dropout Rate Heterogeneity

BG/BB Plot Frequency in Calibration Period

BG/BB Plot Frequency in Holdout

BG/BB Plot Frequency vs Conditional Expected Frequency

BG/BB Plot Recency vs Conditional Expected Frequency

BG/BB Tracking Cumulative Transactions Plot

BG/BB Tracking Incremental Transactions Plot

BG/BB Plot Transaction Rate Heterogeneity

BG/BB General Probability Mass Function

BG/BB Probability Mass Function

BG/BB Posterior Mean Dropout Rate

BG/NBD Parameter Estimation

BG/NBD Expectation

BG/NBD Expected Cumulative Transactions

Define general parameters

BG/NBD Log-Likelihood

BG/NBD P(Alive)

BG/NBD Plot Dropout Probability Heterogeneity

BG/NBD Plot Frequency in Calibration Period

BG/NBD Plot Frequency vs. Conditional Expected Frequency

BG/NBD Plot Actual vs. Conditional Expected Frequency by Recency

BG/NBD Tracking Cumulative Transactions Plot

BG/NBD Tracking Incremental Transactions Comparison

BG/NBD Plot Transaction Rate Heterogeneity

Generalized BG/NBD Probability Mass Function

BG/NBD Probability Mass Function

This project was funded and sponsored by [Wharton Customer Analytics](...

Build CBS matrix from CBT matrix

Build Customer-by-Time Matrix from Event Log

Check model params

Compress Customer-by-Sufficient-Statistic (CBS) Matrix

Create Frequency Customer-by-Time Matrix

Create Reach Customer-by-Time Matrix

Create Spend Customer-by-Time Matrix

Cumulative to Incremental

Dissipate Event Log

Convert Event Log to CBS and CBT Matrices

Filter Customer by Birth

Get First Purchase Periods from Customer-by-Time Matrix

Get Last Purchase Periods from Customer-by-Time Matrix

Check the inputs to functions that use this common pattern

Make Calibration Period Recency-Frequency Matrix

Make Holdout Period Recency-Frequency Matrix

Make Recency-Frequency Matrix Skeleton

Merge Customers

Merge Transactions on Same Day

Plot Log-Likelihood Contour

Plot Log-Likelihood Contours

Read Lines

Remove Time Between

Split Up Event Log for Repeat Transactions

Write Line

Use Bruce Hardie's Gaussian hypergeometric implementation

Pareto/NBD Log-Likelihood

Pareto/NBD Conditional Expected Transactions

Pareto/NBD Discounted Expected Residual Transactions

Pareto/NBD Parameter Estimation

Pareto/NBD Expectation

Pareto/NBD Expected Cumulative Transactions

Define general parameters

Pareto/NBD Log-Likelihood

Pareto/NBD P(Alive)

Pareto/NBD Plot Discounted Expected Residual Transactions

Pareto/NBD Plot Dropout Rate Heterogeneity

Pareto/NBD Plot Frequency in Calibration Period

Pareto/NBD Plot Frequency vs. Conditional Expected Frequency

Plot Pareto/NBD Rate Heterogeneity

Pareto/NBD Plot Actual vs. Conditional Expected Frequency by Recency

Pareto/NBD Tracking Cumulative Transactions Plot

Pareto/NBD Tracking Incremental Transactions Comparison

Pareto/NBD Plot Transaction Rate Heterogeneity

Generalized Pareto/NBD Probability Mass Function

Pareto/NBD Probability Mass Function

Spend Parameter Estimation

Conditional expected transaction value

Define general parameters

Spend Log-Likelihood

Gamma-gamma marginal likelihood

Plot Actual vs. Expected Average Transaction Value

Subtract Logs