@@ -6,10 +6,10 @@ test_that("Check simple SCCS as conditional logistic regression", {
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source(" helper-conditionalPoisson.R" )
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tolerance <- 1E-6
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gold.clogit <- clogit(event ~ exgr + agegr + strata(indiv ) + offset(loginterval ),
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- data = chopdat )
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+ data = oxford )
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dataPtr <- createCyclopsDataFrame(event ~ exgr + agegr + strata(indiv ) + offset(loginterval ),
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- data = chopdat ,
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+ data = oxford ,
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modelType = " clr" )
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cyclopsFit <- fitCyclopsModel(dataPtr ,
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prior = createPrior(" none" ))
@@ -22,10 +22,10 @@ test_that("Check simple SCCS as conditional Poisson regression", {
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tolerance <- 1E-3
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gold.cp <- gnm(event ~ exgr + agegr + offset(loginterval ),
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family = poisson , eliminate = indiv ,
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- data = chopdat )
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+ data = oxford )
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dataPtr <- createCyclopsDataFrame(event ~ exgr + agegr + strata(indiv ) + offset(loginterval ),
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- data = chopdat ,
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+ data = oxford ,
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modelType = " cpr" )
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cyclopsFit <- fitCyclopsModel(dataPtr ,
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prior = createPrior(" none" ))
@@ -39,10 +39,10 @@ test_that("Check simple SCCS as SCCS", {
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source(" helper-conditionalPoisson.R" )
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tolerance <- 1E-6
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gold.clogit <- clogit(event ~ exgr + agegr + strata(indiv ) + offset(loginterval ),
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- data = chopdat )
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+ data = oxford )
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- dataPtr <- createCyclopsDataFrame(event ~ exgr + agegr + strata(indiv ), time = chopdat $ interval ,
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- data = chopdat ,
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+ dataPtr <- createCyclopsDataFrame(event ~ exgr + agegr + strata(indiv ), time = oxford $ interval ,
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+ data = oxford ,
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modelType = " sccs" )
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cyclopsFit <- fitCyclopsModel(dataPtr ,
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prior = createPrior(" none" ))
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