rope_logit: ROPE range calculation for a logistic model
In fabregithub/r4jecs: Collection of Functions for Japan Environment and Children's Study
rope_logit R Documentation
ROPE range calculation for a logistic model
Description
Calculation of ROPE range for a logistic model.
Usage
rope_logit(prevalence, change = 0.05)
Arguments
prevalence
prevalence of binomial y variance = 1
change
tolerable range
Details
This function calculates the ROPE range for a logistic model.
Author(s)
Shoji F. Nakayama
Examples
## Not run:
rope.logit <- rope_llogit(0.3, 0.05)
## End(Not run)
fabregithub/r4jecs documentation built on June 13, 2025, 4:50 p.m.
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| rope_logit | R Documentation |
ROPE range calculation for a logistic model
Description
Calculation of ROPE range for a logistic model.
Usage
rope_logit(prevalence, change = 0.05)
Arguments
prevalence |
prevalence of binomial y variance = 1 |
change |
tolerable range |
Details
This function calculates the ROPE range for a logistic model.
Author(s)
Shoji F. Nakayama
Examples
## Not run:
rope.logit <- rope_llogit(0.3, 0.05)
## End(Not run)
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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