reduction_power: Count reduction (eg FECRT) data power calculations
In mdenwood/bayescount: Statistical Analyses and Power Calculations for Count Data and Faecal Egg Count Reduction Tests (FECRT)
View source: R/reduction_power.R
Description
Power calculation based on BNB code and Christian approximation.
Usage
1
2
3
reduction_pval(pre_data, post_data, H0_1 = 0.9, H0_2 = 0.95, edt_pre = 1,
edt_post = 1, prob_priors = c(1, 1), k_change = 1, true_k = NA,
delta_method = TRUE, beta_iters = 10^6)
See Also
count_analysis, reduction_power, bayescount
mdenwood/bayescount documentation built on Oct. 17, 2019, 6:59 a.m.
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View source: R/reduction_power.R
Description
Power calculation based on BNB code and Christian approximation.
Usage
1 2 3 | reduction_pval(pre_data, post_data, H0_1 = 0.9, H0_2 = 0.95, edt_pre = 1,
edt_post = 1, prob_priors = c(1, 1), k_change = 1, true_k = NA,
delta_method = TRUE, beta_iters = 10^6)
|
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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