join.spells

Unnecessary cut spells are glued together, overlapping spells are
"polished", etc.

manip

survival

Parametric proportional hazards fitting with left truncation and
right censoring for common families of distributions, piecewise constant
hazards, and discrete models. Parametric accelerated failure time models
for left truncated and right censored data. Proportional hazards
models for tabular and register data. Sampling of risk sets in Cox
regression, selections in the Lexis diagram, bootstrapping.
Broström (2022) <doi:10.1201/9780429503764>.

Göran Broström

Event History Analysis

Jianming Jin

join.spells function

<dl><dt>dat</dt>
<dd>A data frame with names enter, exit, event, id.</dd>
<dt>strict</dt>
<dd>If TRUE, nothing is changed if errors in spells (non-positive
length, overlapping intervals, etc.) are detected. Otherwise (the default),
bad spells are removed, with "earlier life" having higher priority.</dd>
<dt>eps</dt>
<dd>Tolerance for equality of two event times. Should be kept small.</dd></dl>

Arguments

Author

Straighten up a survival data frame — join.spells

<dl>

<dt>dat</dt>
<dd>A data frame with names enter, exit, event, id.</dd>


<dt>strict</dt>
<dd>If TRUE, nothing is changed if errors in spells (non-positive
length, overlapping intervals, etc.) are detected. Otherwise (the default),
bad spells are removed, with "earlier life" having higher priority.</dd>


<dt>eps</dt>
<dd>Tolerance for equality of two event times. Should be kept small.</dd>

</dl>

join.spells: Straighten up a survival data frame

Description

Usage

Value

Arguments

Author

Details

References

See Also