CLVTools-package        Customer Lifetime Value Tools
SetDynamicCovariates    Add Dynamic Covariates to a CLV data object
SetStaticCovariates     Add Static Covariates to a CLV data object
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_LL                BG/NBD: Log-Likelihood functions
bgnbd_PAlive            BG/NBD: Probability of Being Alive
bgnbd_expectation       BG/NBD: Unconditional Expectation
bgnbd_pmf               BG/NBD: Probability Mass Function (PMF)
cdnow                   CDNOW dataset
clvdata                 Create an object for transactional data
                        required to estimate CLV
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_LL              GGompertz/NBD: Log-Likelihood functions
ggomnbd_PAlive          GGompertz/NBD: Probability of Being Alive
ggomnbd_expectation     GGompertz/NBD: Unconditional Expectation
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 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
pnbd                    Pareto/NBD models
pnbd_CET                Pareto/NBD: Conditional Expected Transactions
pnbd_DERT               Pareto/NBD: Discounted Expected Residual
                        Transactions
pnbd_LL                 Pareto/NBD: Log-Likelihood functions
pnbd_PAlive             Pareto/NBD: Probability of Being Alive
pnbd_expectation        Pareto/NBD: Unconditional Expectation
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
spending                Formula Interface for Spending Models
subset.clv.data         Subsetting clv.data
summary.clv.fitted      Summarizing a fitted CLV model
vcov.clv.fitted         Calculate Variance-Covariance Matrix for CLV
                        Models fitted with Maximum Likelihood
                        Estimation
