pmf: Estimate the Probability Mass Function
In nt-williams/survrct: Efficient Estimators for Survival and Ordinal Outcomes in RCTs Without Proportional Hazards and Odds Assumptions
Description
Usage
Arguments
Value
See Also
Examples
Description
Estimate the Probability Mass Function
Usage
1
pmf(metadata)
Arguments
metadata
An object of class "Ordinal" generated by a call to ordinalrct().
Value
A list of class pmf containing the computed estimates
including the efficient influence function, standard errors,
and confidence intervals.
See Also
ordinalrct for creating metadata.
Other ordinalrct functions:
cdf(),
log_or(),
mannwhitney()
Examples
1
2
rct <- ordinalrct(state_ordinal ~ A + age, A ~ 1, data = c19.ordinal)
pmf(rct)
nt-williams/survrct documentation built on July 29, 2021, 7:46 a.m.
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Description Usage Arguments Value See Also Examples
Description
Estimate the Probability Mass Function
Usage
1 | pmf(metadata)
|
Arguments
metadata |
An object of class "Ordinal" generated by a call to |
Value
A list of class pmf containing the computed estimates
including the efficient influence function, standard errors,
and confidence intervals.
See Also
ordinalrct for creating metadata.
Other ordinalrct functions:
cdf(),
log_or(),
mannwhitney()
Examples
1 2 | rct <- ordinalrct(state_ordinal ~ A + age, A ~ 1, data = c19.ordinal)
pmf(rct)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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