lr_se: calculate the standard error of the log-ratio of two random...
In softloud/metasim: Simulate Meta-Analytic Data
Description
Provides sample estimator for the squared-root of the variance of the log-ratio of two random samples
Usage
1
lr_se(measure, n_c, effect_c, effect_se_c, n_i, effect_i, effect_se_i)
Arguments
measure
mean or median
n_c
sample size of control group
effect_c
effect measure for control group
effect_se_c
standard error of control group
effect_i
effect measure of intervention group
effect_se_i
standard error of intervention group
n_c
sample size of intervention group
softloud/metasim documentation built on July 15, 2019, 8:02 p.m.
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Description
Provides sample estimator for the squared-root of the variance of the log-ratio of two random samples
Usage
1 | lr_se(measure, n_c, effect_c, effect_se_c, n_i, effect_i, effect_se_i)
|
Arguments
measure |
mean or median |
n_c |
sample size of control group |
effect_c |
effect measure for control group |
effect_se_c |
standard error of control group |
effect_i |
effect measure of intervention group |
effect_se_i |
standard error of intervention group |
n_c |
sample size of intervention group |
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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