ggomnbd_PAlive: GGompertz/NBD: Probability of Being Alive
In CLVTools: Tools for Customer Lifetime Value Estimation

ggomnbd_PAlive

R Documentation

GGompertz/NBD: Probability of Being Alive

Description

Calculates the probability of a customer being alive at the end of the calibration period, based on a customer's past transaction behavior and the GGompertz/NBD model parameters.

ggomnbd_nocov_PAlive: P(alive) for the GGompertz/NBD model without covariates
ggomnbd_staticcov_PAlive: P(alive) for the GGompertz/NBD model with static covariates

Usage

ggomnbd_staticcov_PAlive(
  r,
  alpha_0,
  b,
  s,
  beta_0,
  vX,
  vT_x,
  vT_cal,
  vCovParams_trans,
  vCovParams_life,
  mCov_life,
  mCov_trans
)

ggomnbd_nocov_PAlive(r, alpha_0, b, s, beta_0, vX, vT_x, vT_cal)

Arguments

`r`	shape parameter of the Gamma distribution of the purchase process. The smaller r, the stronger the heterogeneity of the purchase process.
`alpha_0`	scale parameter of the Gamma distribution of the purchase process.
`b`	scale parameter of the Gompertz distribution (constant across customers)
`s`	shape parameter of the Gamma distribution for the lifetime process The smaller s, the stronger the heterogeneity of customer lifetimes.
`beta_0`	scale parameter for the Gamma distribution for the lifetime process
`vX`	Frequency vector of length n counting the numbers of purchases.
`vT_x`	Recency vector of length n.
`vT_cal`	Vector of length n indicating the total number of periods of observation.
`vCovParams_trans`	Vector of estimated parameters for the transaction covariates.
`vCovParams_life`	Vector of estimated parameters for the lifetime covariates.
`mCov_life`	Matrix containing the covariates data affecting the lifetime process. One column for each covariate.
`mCov_trans`	Matrix containing the covariates data affecting the transaction process. One column for each covariate.

Details

mCov_trans is a matrix containing the covariates data of the time-invariant covariates that affect the transaction process. Each column represents a different covariate. For every column a gamma parameter needs to added to vCovParams_trans at the respective position.

mCov_life is a matrix containing the covariates data of the time-invariant covariates that affect the lifetime process. Each column represents a different covariate. For every column a gamma parameter needs to added to vCovParams_life at the respective position.

Value

Returns a vector with the PAlive for each customer.

References

Bemmaor AC, Glady N (2012). “Modeling Purchasing Behavior with Sudden “Death”: A Flexible Customer Lifetime Model” Management Science, 58(5), 1012-1021.

Adler J (2022). “Comment on “Modeling Purchasing Behavior with Sudden “Death”: A Flexible Customer Lifetime Model” Management Science 69(3):1929-1930.

The expression for the PMF was derived by Adler J (2024). (unpublished)

CLVTools documentation built on Oct. 13, 2024, 9:07 a.m.