# Load Data ------------------------------------------------------------------------------------------------------------------
data("apparelTrans")
data("apparelDynCov")
skip_on_cran()
# Basic runability ---------------------------------------------------------------------------------
fitted.dyncov <- fct.helper.dyncov.quickfit.apparel.data(data.apparelTrans = apparelTrans,
data.apparelDynCov = apparelDynCov,
hessian=TRUE)
# Standard S3 tests ---------------------------------------------------------------
# Run the standard S3 tests on the fitted model,
# but not plot() and predict() which takes too long.
# also plot() produces all NAs if quickfit is used
.fct.helper.clvfitted.all.s3.except.plot.and.predict(clv.fitted=fitted.dyncov,
full.names=c("r", "alpha", "s", "beta",
"life.Marketing", "life.Gender", "life.Channel",
"trans.Marketing", "trans.Gender", "trans.Channel"))
# LL.data ---------------------------------------------------------------
fct.testthat.runability.dynamiccov.LL.is.correct(clv.fitted = fitted.dyncov)
# Plot ------------------------------------------------------------------
fct.testthat.runability.dynamiccov.plot.works(clv.fitted = fitted.dyncov)
fct.testthat.runability.dynamiccov.plot.has.0.repeat.transactions.expectations(clv.fitted = fitted.dyncov)
# Predict ----------------------------------------------------------------
fct.testthat.runability.dynamiccov.predict.works(clv.fitted = fitted.dyncov)
fct.testthat.runability.dynamiccov.predict.newdata.works(clv.fitted = fitted.dyncov,
data.apparelTrans = apparelTrans,
data.apparelDynCov = apparelDynCov)
# Newdata ----------------------------------------------------------------------------------------------------------
apparelDynCov.extra <- fct.helper.dyncov.create.longer.dyncov.data(num.additional = 100,
data.apparelDynCov = apparelDynCov)
clv.data.extra <- fct.helper.create.clvdata.apparel.dyncov(data.apparelTrans=apparelTrans,
data.apparelDynCov=apparelDynCov.extra,
estimation.split=38)
fct.testthat.runability.dynamiccov.predict.longer.with.newdata(clv.fitted = fitted.dyncov, clv.data.extra = clv.data.extra)
fct.testthat.runability.dynamiccov.plot.longer.with.newdata(clv.fitted = fitted.dyncov, clv.data.extra = clv.data.extra)
# Overlong data ------------------------------------------------------------------------------
# Cannot do without holdout because takes too long to estimate
fct.testthat.runability.dynamiccov.can.predict.plot.beyond.holdout(data.apparelTrans=apparelTrans,
apparelDynCov.extra=apparelDynCov.extra)
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