Pareto/NBD: Discounted Expected Residual Transactions

Source: R/RcppExports.R

Calculates the discounted expected residual transactions.

  • pnbd_nocov_DERT Discounted expected residual transactions for the Pareto/NBD model without covariates

  • pnbd_staticcov_DERT Discounted expected residual transactions for the Pareto/NBD model with static covariates

pnbd_nocov_DERT(
  r,
  alpha_0,
  s,
  beta_0,
  continuous_discount_factor,
  vX,
  vT_x,
  vT_cal
)

pnbd_staticcov_DERT(
  r,
  alpha_0,
  s,
  beta_0,
  continuous_discount_factor,
  vX,
  vT_x,
  vT_cal,
  mCov_life,
  mCov_trans,
  vCovParams_life,
  vCovParams_trans
)

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

rate parameter of the Gamma distribution of the purchase process
s

shape parameter of the Gamma distribution for the lifetime process. The smaller s, the stronger the heterogeneity of customer lifetimes
beta_0

rate parameter for the Gamma distribution for the lifetime process.
continuous_discount_factor

continuous discount factor to use
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.
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.
vCovParams_life

Vector of estimated parameters for the lifetime covariates.
vCovParams_trans

Vector of estimated parameters for the transaction covariates.

Value

Returns a vector with the DERT for each customer.

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.

References

Schmittlein DC, Morrison DG, Colombo R (1987). “Counting Your Customers: Who-Are They and What Will They Do Next?” Management Science, 33(1), 1–24.

Fader PS, Hardie BGS (2005). “A Note on Deriving the Pareto/NBD Model and Related Expressions.” URL http://www.brucehardie.com/notes/009/pareto_nbd_derivations_2005-11-05.pdf.

Fader PS, Hardie BG (2007). “Incorporating time-invariant covariates into the Pareto/NBD and BG/NBD models.” URL http://www.brucehardie.com/notes/019/time_invariant_covariates.pdf.