gen_index: Calculate 'generalizability index' to describe how similar or...
In benjamin-ackerman/generalizeR: Generalizing Average Treatment Effects from RCTs to Target Populations
Description
Usage
Arguments
Value
Description
Calculate 'generalizability index' to describe how similar or different trial is from population
Usage
1
gen_index(dat1B, dat2B)
Arguments
dat1B
vector of probabilities of trial participation among individuals in the trial
dat2B
vector of probabilities of trial participation among individuals in the population
Value
the generalizability index, a value between 0 and 1, where scores greater than 1 indicate greater similarity (see Tipton paper for description)
benjamin-ackerman/generalizeR documentation built on Oct. 7, 2020, 4:38 a.m.
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Description Usage Arguments Value
Description
Calculate 'generalizability index' to describe how similar or different trial is from population
Usage
1 | gen_index(dat1B, dat2B)
|
Arguments
dat1B |
vector of probabilities of trial participation among individuals in the trial |
dat2B |
vector of probabilities of trial participation among individuals in the population |
Value
the generalizability index, a value between 0 and 1, where scores greater than 1 indicate greater similarity (see Tipton paper for description)
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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