Customer Analytics Data Formatting

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Documentation for package ‘CADF’ version 0.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

annualhalfingmodel	Annual Halfing Model
annualhalfing_LL	Likelihood maximization for annual halfing customer retention model
bass.answeringmachines	Answering machine data
bigT_expand_via_apply	bigT_expand_via_apply
billionaire	Billionaires
cadf	cadf.
cadf.data.sample	CADF-formatted sample data
CADF_to_annualhalfing_data	Convert CADF dataset into annualhalfing model dataset
CADF_to_btyd_pareto_nbd	CADF to btyd pareto nbd model
CADF_to_logistic_regression	CADF to logistic regression
CADF_to_migration_model	CADF_to_migration_model converts CADF data to migration model data
CADF_to_nth_purchase	CADF_to_nth_purchase
CADF_to_nth_purchase_allrows	CADF_to_nth_purchase_allrows inputs CADF data and the desired purchase number that you want to count the nth result of.
ca_SRM	ca_SRM
ca_SRM_time_varying	Time varying Simple retention model Estimates retention rate using logistic regression and the simple regression model Mostly used for contractual models where there are clear opportunities for cancellation. Could be used in non-contractional situations although the cancellation opportunities should be defined. Not recommended for use with services that consumers use rotating-door style. Use the migration model there.
ca_to_ps_matrix	CADF to purchase string Extracts purchase strings from the CADF and formats as a R matrix.
create.purchase.string	Function called during Customer$new() (the Customer R6 class) to create purchase string for the customer.
create.recency.string	create_recency_string
Customer	R6 Class representing a customer. Otherwise known as the CADF.
discretechoice	Discrete choice
exceldata	Excel data
fp	Health Data
frequency_from_ps	Purchase string to frequency count
frequency_from_rle	RLE object to frequency count
f_CustomerModelingMatrix	For each customer, return a modeling matrix that is utilized for logistic regression
f_CustomerSurvivalModelingMatrix	For each customer, return a survival modeling matrix that is utilized for survival analysis
f_intMonths	Compute the months between two purchase dates
gammagamma	Gamma gamma spend model data
generate_date_template	generate_date_template
id_to_CADF	Convert to CADF for a single customer id
ld_sample_customer_matrix	LD functions are utilized for learning and diagnostic use.
ltv.transactions	LTV transactions data
modeling.annualhalfing.likelihood	Likelihood function for annual halfing model
modeling.LL.gamma_spend	LL function for the gamma gamma spend model
pdf_gamma	PDF probability function for gamma distribution
pdf_gamma2	Probability density function for gamma distribution
print.glossary	The glossary for the CADF data format
psmatrix_to_psstring	psmatrix_to_psstring
psmatrix_to_recency_attimeof_matrix	accepts a psmatrix converts 1/0 purchase strings to recency at timeof
ps_to_T_custom	Calculates T from a purchase string. Custom.
ps_to_T_strict_quitter	Calculates T from a purchase string
ps_to_T_strict_stayer	Calculates T from a purchase string under the "strict stayer" assumption.
qc_transactional_data	The customer analytics data format (CADF) relays heavily on correct input data. Transactional data must: 1.) be a data frame with two columns 2.) Column one is the customer id 3.) Column 2 is the transaction date. Column 2 must be formatted as a date object in R.
segltv	Segmentation and LTV data
simple_migration	Simple Migration
split.transaction.file_to_CADF	Create a CADF dataset from a dataframe
srm_data	#' Simple retention model data
srm_summaries	SRM model data
stocks	Stockmarket put/call data
transactions	Transactions data
transactions.merged	#' Transaction data
transitions	Calculate transition periods between two timeperiods