getProbScalarRR: Calculate risks from log RR and log OP
In mclements/brm: Binary Regression Model
Description
Usage
Arguments
Details
Value
Examples
View source: R/getProbScalarRR.R
Description
Calculate risks from log RR and log OP
Usage
1
getProbScalarRR(logrr, logop = NA)
Arguments
logrr
log of relative risk
logop
log of odds product
Details
The log OP is defined as log OP = log[(P(y=1|x=0)/P(y=0|x=0))*(P(y=1|x=1)/P(y=0|x=1))].
Value
a vector (P(y=1|x=0),P(y=1|x=1))
Examples
1
2
3
4
5
6
7
8
getProbScalarRR(0,0)
set.seed(0)
logrr = rnorm(10,0,1)
logop = rnorm(10,0,1)
probs = mapply(getProbScalarRR, logrr, logop)
rownames(probs) = c("P(y=1|x=0)","P(y=1|x=1)")
probs
mclements/brm documentation built on June 20, 2020, 9:22 p.m.
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Description Usage Arguments Details Value Examples
View source: R/getProbScalarRR.R
Description
Calculate risks from log RR and log OP
Usage
1 | getProbScalarRR(logrr, logop = NA)
|
Arguments
logrr |
log of relative risk |
logop |
log of odds product |
Details
The log OP is defined as log OP = log[(P(y=1|x=0)/P(y=0|x=0))*(P(y=1|x=1)/P(y=0|x=1))].
Value
a vector (P(y=1|x=0),P(y=1|x=1))
Examples
1 2 3 4 5 6 7 8 | getProbScalarRR(0,0)
set.seed(0)
logrr = rnorm(10,0,1)
logop = rnorm(10,0,1)
probs = mapply(getProbScalarRR, logrr, logop)
rownames(probs) = c("P(y=1|x=0)","P(y=1|x=1)")
probs
|
R Package Documentation
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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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