apparelDynCov | Time-varying Covariates for the Apparel Retailer Dataset |
apparelDynCovFuture | Future Time-varying Covariates for the Apparel Retailer... |
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 |
clv.bootstrapped.apply | Bootstrapping: Fit a model again on sampled data and apply... |
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 |
ggomnbd_PMF | GGompertz/NBD: Probability Mass Function (PMF) |
latentAttrition | Formula Interface for Latent Attrition Models |
lrtest | Likelihood Ratio Test of Nested Models |
newcustomer | New customer prediction data |
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 |
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