logOR: calculate pairwise log odds ratios
In baker: Nested Partially Latent Class Models
Description
Usage
Arguments
Value
Description
Case at upper triangle; control at lower triangle
Usage
1
logOR(MBS.case, MBS.ctrl)
Arguments
MBS.case
Case Bronze-Standard (BrS) data; rows for case subjects;
columns contain JBrS measurements
MBS.ctrl
Control Bronze-Standard (BrS) data; rows for control subjects;
columns contain JBrS measurements
Value
a list of two elements: logOR (JBrS by JBrS matrix of log
odds ratios for each pair among JBrS measurements) and logOR.se (
same dimension as logOR, but representing the standard errors of the corresponding
estimated log odds ratios in logOR).
baker documentation built on Feb. 2, 2022, 9:06 a.m.
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Description Usage Arguments Value
Description
Case at upper triangle; control at lower triangle
Usage
1 | logOR(MBS.case, MBS.ctrl)
|
Arguments
MBS.case |
Case Bronze-Standard (BrS) data; rows for case subjects;
columns contain |
MBS.ctrl |
Control Bronze-Standard (BrS) data; rows for control subjects;
columns contain |
Value
a list of two elements: logOR (JBrS by JBrS matrix of log
odds ratios for each pair among JBrS measurements) and logOR.se (
same dimension as logOR, but representing the standard errors of the corresponding
estimated log odds ratios in logOR).
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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