count_power: Count data power calculations
In mdenwood/bayescount: Statistical Analyses and Power Calculations for Count Data and Faecal Egg Count Reduction Tests (FECRT)
Description
Power calculation based on BNB code and christian approach yet to be written. Do either test vs known single mean, or test for difference in mean to observed dataset (k can vary between datasets or be fixed).
Usage
1
2
3
count_power(type = "fec", cutoff = if ("fec") 400 else 95,
alternative = "two.sided", conf.level = 0.05, maxiterations = 1e+06,
mc.decimals = 2, mc.conf = 0.99, feedback = FALSE, ...)
See Also
count_analysis, reduction_power, bayescount
mdenwood/bayescount documentation built on Oct. 17, 2019, 6:59 a.m.
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Description
Power calculation based on BNB code and christian approach yet to be written. Do either test vs known single mean, or test for difference in mean to observed dataset (k can vary between datasets or be fixed).
Usage
1 2 3 | count_power(type = "fec", cutoff = if ("fec") 400 else 95,
alternative = "two.sided", conf.level = 0.05, maxiterations = 1e+06,
mc.decimals = 2, mc.conf = 0.99, feedback = FALSE, ...)
|
See Also
count_analysis, reduction_power, bayescount
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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