Man pages for CLVTools
Tools for Customer Lifetime Value Estimation
| 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.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 |
| bgnbd | BG/NBD models |
| bgnbd_CET | BG/NBD: Conditional Expected Transactions |
| bgnbd_expectation | BG/NBD: Unconditional Expectation |
| bgnbd_LL | BG/NBD: Log-Likelihood functions |
| bgnbd_PAlive | BG/NBD: Probability of Being Alive |
| bgnbd_pmf | BG/NBD: Probability Mass Function (PMF) |
| cdnow | CDNOW dataset |
| clv.bgnbd-class | Result of fitting the BG/NBD model without covariates |
| clv.bgnbd.static.cov-class | Result of fitting the BG/NBD model with static covariates |
| clvdata | Create an object for transactional data required to estimate... |
| clv.data-class | Transactional data to fit CLV models |
| clv.data.dynamic.covariates-class | Transactional and dynamic covariates data to fit CLV models |
| clv.data.static.covariates-class | Transactional and static covariates data to fit CLV models |
| clv.fitted-class | Fitted model without covariates |
| clv.fitted.spending-class | Fitted Spending Model |
| clv.fitted.transactions-class | Fitted Transaction Model without covariates |
| clv.fitted.transactions.dynamic.cov-class | Fitted CLV Model with Dynamic covariates |
| clv.fitted.transactions.static.cov-class | Fitted Transaction Model with Static covariates |
| clv.gg-class | Result of fitting the Gamma-Gamma model |
| clv.ggomnbd-class | Result of fitting the GGompertz/NBD model without covariates |
| clv.ggomnbd.static.cov-class | Result of fitting the GGompertz/NBD model with static... |
| clv.model.bgnbd.no.cov-class | CLV Model functionality for BG/NBD without covariates |
| clv.model.bgnbd.static.cov-class | CLV Model functionality for BG/NBD with static covariates |
| clv.model-class | CLV Model providing model related functionalities |
| clv.model.gg-class | CLV Model functionality for the Gamma-Gamma spending model |
| clv.model.ggomnbd.no.cov-class | CLV Model functionality for GGompertz/NBD without covariates |
| clv.model.ggomnbd.static.cov-class | CLV Model functionality for GGompertz/NBD with static... |
| clv.model.no.correlation-class | CLV Model without support for life-trans correlation |
| clv.model.pnbd.dynamic.cov-class | CLV Model functionality for PNBD with dynamic covariates |
| clv.model.pnbd.no.cov-class | CLV Model functionality for Pareto/NBD without covariates |
| clv.model.pnbd.static.cov-class | CLV Model functionality for Pareto/NBD with static covariates |
| clv.model.with.correlation-class | CLV Model providing life-trans correlation related... |
| clv.pnbd-class | Result of fitting the Pareto/NBD model without covariates |
| clv.pnbd.dynamic.cov-class | Result of fitting the Pareto/NBD model with dynamic... |
| clv.pnbd.static.cov-class | Result of fitting the Pareto/NBD model with static covariates |
| clv.time-class | Time Unit defining conceptual periods |
| clv.time.date-class | Date based time-units |
| clv.time.datetime-class | POSIXct based time-units |
| clv.time.days-class | Time unit representing a single Day |
| clv.time.hours-class | Time unit representing a single hour |
| clv.time.weeks-class | Time unit representing a single Week |
| clv.time.years-class | Time unit representing a single Year |
| CLVTools-package | Customer Lifetime Value Tools |
| fitted.clv.fitted | Extract Unconditional Expectation |
| gg | Gamma/Gamma Spending model |
| gg_LL | Gamma-Gamma: Log-Likelihood Function |
| ggomnbd | 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_PAlive | GGompertz/NBD: Probability of Being Alive |
| latentAttrition | Formula Interface for Latent Attrition Models |
| nobs.clv.data | Number of observations |
| nobs.clv.fitted | Number of observations |
| plot.clv.data | Plot Diagnostics for the Transaction data in a clv.data... |
| 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 |
| pnbd | 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_PAlive | Pareto/NBD: Probability of Being Alive |
| pnbd_pmf | Pareto/NBD: Probability Mass Function (PMF) |
| predict.clv.fitted.spending | Predict customers' future spending |
| predict.clv.fitted.transactions | Predict CLV from a fitted transaction 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.clv.data | Subsetting clv.data |
| summary.clv.data | Summarizing a CLV data object |
| summary.clv.fitted | Summarizing a fitted CLV model |
| summary.clv.time | Summarizing a CLV time object |
| vcov.clv.fitted | Calculate Variance-Covariance Matrix for CLV Models fitted... |
| vec_gsl_hyp2f0_e | GSL Hypergeometric 2F0 for equal length vectors |
| vec_gsl_hyp2f1_e | GSL Hypergeometric 2F1 for equal length vectors |
