A collection of synthetic datasets for debugging the abrem package,
created using the params.to.ob
function. When these datasets
are fitted with a two-parameter Weibull distribution using X-on-Y rank
regression on exact 'median' plotting positions, the resulting
parameters beta and eta are (almost) exactly 3 and 1000, respectively.
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An ordered dataframe with columns $time
((life-)time observations) and $event
(censoring indicators).
All datasets have comments; see comment
for more info.
abrem2
Two failures, no censoring.
abrem3
Three failures, no censoring.
abrem13
Thirteen failures, no censoring.
abrem13c1
Type II censored dataset with 13 observations: two failures and 11 suspensions (at the same time as the latest failure).
abrem13c2
Type II censored dataset with 13 observations: three failures and 10 suspensions (at the same time as the latest failure).
abrem13c3
Type II censored dataset with 13 observations: ten failures and three suspensions (at the same time as the latest failure).
abrem13c4
Type II censored dataset with 13 observations: 12 failures and one suspension (at the same time as the latest failure).
The observations in this dataset are rounded output values from
params.to.ob
. Even higher precision can be achived by using the output of
params.to.ob
directly, as evidenced by comparing the goodness-of-fit
indicators from both fits.
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