CLVTools-package |
Customer Lifetime Value Tools |
apparelDynCov |
Time-varying Covariates for the Apparel Retailer Dataset |
apparelStaticCov |
Time-invariant Covariates for the Apparel Retailer Dataset |
apparelTrans |
Apparel Retailer Dataset |
as.clv.data |
Coerce to clv.data object |
as.clv.data.data.frame |
Coerce to clv.data object |
as.clv.data.data.table |
Coerce to clv.data object |
as.data.frame.clv.data |
Coerce to a Data Frame |
as.data.table.clv.data |
Coerce to a Data Table |
bgbb |
BG/BB models - Work In Progress |
bgbb-method |
BG/BB models - Work In Progress |
bgnbd |
BG/NBD models |
bgnbd-method |
BG/NBD models |
bgnbd_CET |
BG/NBD: Conditional Expected Transactions |
bgnbd_expectation |
BG/NBD: Unconditional Expectation |
bgnbd_LL |
BG/NBD: Log-Likelihood functions |
bgnbd_nocov_CET |
BG/NBD: Conditional Expected Transactions |
bgnbd_nocov_expectation |
BG/NBD: Unconditional Expectation |
bgnbd_nocov_LL_ind |
BG/NBD: Log-Likelihood functions |
bgnbd_nocov_LL_sum |
BG/NBD: Log-Likelihood functions |
bgnbd_nocov_PAlive |
BG/NBD: Probability of Being Alive |
bgnbd_nocov_PMF |
BG/NBD: Probability Mass Function (PMF) |
bgnbd_PAlive |
BG/NBD: Probability of Being Alive |
bgnbd_pmf |
BG/NBD: Probability Mass Function (PMF) |
bgnbd_staticcov_CET |
BG/NBD: Conditional Expected Transactions |
bgnbd_staticcov_expectation |
BG/NBD: Unconditional Expectation |
bgnbd_staticcov_LL_ind |
BG/NBD: Log-Likelihood functions |
bgnbd_staticcov_LL_sum |
BG/NBD: Log-Likelihood functions |
bgnbd_staticcov_PAlive |
BG/NBD: Probability of Being Alive |
bgnbd_staticcov_PMF |
BG/NBD: Probability Mass Function (PMF) |
cdnow |
CDNOW dataset |
clvdata |
Create an object for transactional data required to estimate CLV |
CLVTools |
Customer Lifetime Value Tools |
fitted.clv.fitted |
Extract Unconditional Expectation |
gg |
Gamma/Gamma Spending model |
gg-method |
Gamma/Gamma Spending model |
ggomnbd |
Gamma-Gompertz/NBD model |
ggomnbd-method |
Gamma-Gompertz/NBD model |
ggomnbd_CET |
GGompertz/NBD: Conditional Expected Transactions |
ggomnbd_expectation |
GGompertz/NBD: Unconditional Expectation |
ggomnbd_LL |
GGompertz/NBD: Log-Likelihood functions |
ggomnbd_nocov_CET |
GGompertz/NBD: Conditional Expected Transactions |
ggomnbd_nocov_expectation |
GGompertz/NBD: Unconditional Expectation |
ggomnbd_nocov_LL_ind |
GGompertz/NBD: Log-Likelihood functions |
ggomnbd_nocov_LL_sum |
GGompertz/NBD: Log-Likelihood functions |
ggomnbd_nocov_PAlive |
GGompertz/NBD: Probability of Being Alive |
ggomnbd_PAlive |
GGompertz/NBD: Probability of Being Alive |
ggomnbd_staticcov_CET |
GGompertz/NBD: Conditional Expected Transactions |
ggomnbd_staticcov_expectation |
GGompertz/NBD: Unconditional Expectation |
ggomnbd_staticcov_LL_ind |
GGompertz/NBD: Log-Likelihood functions |
ggomnbd_staticcov_LL_sum |
GGompertz/NBD: Log-Likelihood functions |
ggomnbd_staticcov_PAlive |
GGompertz/NBD: Probability of Being Alive |
gg_LL |
Gamma-Gamma: Log-Likelihood Function |
latentAttrition |
Formula Interface for Latent Attrition Models |
nobs.clv.data |
Number of observations |
nobs.clv.fitted |
Number of observations |
plot |
Plot Diagnostics for a Fitted Transaction Model |
plot-method |
Plot expected and actual mean spending per transaction |
plot-method |
Plot Diagnostics for a Fitted Transaction Model |
plot.clv.data |
Plot Diagnostics for the Transaction data in a clv.data Object |
plot.clv.fitted.spending |
Plot expected and actual mean spending per transaction |
plot.clv.fitted.transactions |
Plot Diagnostics for a Fitted Transaction Model |
pmf |
Probability Mass Function |
pmf-method |
Probability Mass Function |
pnbd |
Pareto/NBD models |
pnbd-method |
Pareto/NBD models |
pnbd_CET |
Pareto/NBD: Conditional Expected Transactions |
pnbd_DERT |
Pareto/NBD: Discounted Expected Residual Transactions |
pnbd_expectation |
Pareto/NBD: Unconditional Expectation |
pnbd_LL |
Pareto/NBD: Log-Likelihood functions |
pnbd_nocov_CET |
Pareto/NBD: Conditional Expected Transactions |
pnbd_nocov_DERT |
Pareto/NBD: Discounted Expected Residual Transactions |
pnbd_nocov_expectation |
Pareto/NBD: Unconditional Expectation |
pnbd_nocov_LL_ind |
Pareto/NBD: Log-Likelihood functions |
pnbd_nocov_LL_sum |
Pareto/NBD: Log-Likelihood functions |
pnbd_nocov_PAlive |
Pareto/NBD: Probability of Being Alive |
pnbd_nocov_PMF |
Pareto/NBD: Probability Mass Function (PMF) |
pnbd_PAlive |
Pareto/NBD: Probability of Being Alive |
pnbd_pmf |
Pareto/NBD: Probability Mass Function (PMF) |
pnbd_staticcov_CET |
Pareto/NBD: Conditional Expected Transactions |
pnbd_staticcov_DERT |
Pareto/NBD: Discounted Expected Residual Transactions |
pnbd_staticcov_expectation |
Pareto/NBD: Unconditional Expectation |
pnbd_staticcov_LL_ind |
Pareto/NBD: Log-Likelihood functions |
pnbd_staticcov_LL_sum |
Pareto/NBD: Log-Likelihood functions |
pnbd_staticcov_PAlive |
Pareto/NBD: Probability of Being Alive |
pnbd_staticcov_PMF |
Pareto/NBD: Probability Mass Function (PMF) |
predict |
Predict CLV from a fitted transaction model |
predict-method |
Predict customers' future spending |
predict-method |
Predict CLV from a fitted transaction model |
predict.clv.fitted.spending |
Predict customers' future spending |
predict.clv.fitted.transactions |
Predict CLV from a fitted transaction model |
print.summary.clv.fitted |
Summarizing a fitted CLV model |
SetDynamicCovariates |
Add Dynamic Covariates to a CLV data object |
SetStaticCovariates |
Add Static Covariates to a CLV data object |
spending |
Formula Interface for Spending Models |
subset |
Subsetting clv.data |
subset.clv.data |
Subsetting clv.data |
summary.clv.fitted |
Summarizing a fitted CLV model |
summary.clv.fitted.transactions.static.cov |
Summarizing a fitted CLV model |
vcov.clv.fitted |
Calculate Variance-Covariance Matrix for CLV Models fitted with Maximum Likelihood Estimation |