View source: R/relR_samplesize_basic.R
relR_samplesize_basic | R Documentation |
Function that does the simple derived sample size calculation with no corrections. I.e., directly applies the math as if sensitivity and specificity are perfect.
relR_samplesize_basic(
R_a,
R_b,
p_a,
N,
alpha = 0.05,
alternative = c("two_sided", "less", "greater"),
power = 0.8,
overdispersion = NULL,
allow_impossible_m = FALSE
)
R_a |
Numeric (Positive). The assumed R among the group in the denominator of the ratio. Input value must be greater than 0. |
R_b |
Numeric (Positive). The assumed R among the group in the numerator of the ratio. Input value must be greater than 0. |
p_a |
Numeric. The proportion of the population in group |
N |
Numeric (Positive). The size of the infected pool. Only one of
|
alpha |
Numeric. The desired alpha level. Default: 0.05 |
alternative |
Character. Specifies the alternative hypothesis.
Must be: |
power |
Numeric. The desired power. Must be a value between 0 and 1. Default: 0.8. |
overdispersion |
Numeric (Positive). An overdispersion parameter, set
if the assumed distribution of the number of edges is negative binomial.
If |
allow_impossible_m |
Logical. Indicates whether a value for |
The required sample size. NA
if larger than N
.
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