Description Usage Arguments Value Examples
View source: R/power_function_linear_environment_interaction_logistic_mle.R
Returns the standard deviation of y given x for linear models with linear environment interaction
1 2 3 4 5 6 7 8 9 10 11 12 13 | ll.ge.logistic.lin.envir(
sd_e,
N = NULL,
MAF,
power = NULL,
beta0,
OR_G,
OR_E,
OR_GE,
Alpha,
True.Model,
Test.Model
)
|
sd_e |
Standard deviation of the environmental variable |
N |
desired sample size |
MAF |
Vector of minor allele frequencies |
power |
desired power |
beta0 |
the beta0 coefficient in the logistic model |
OR_G |
Vector of genetic odds ratios to detect |
OR_E |
Vector of environmental odds ratios to detect |
OR_GE |
Vector of genetic/environmental interaction odds ratios to detect |
Alpha |
the desired type 1 error rate(s) |
True.Model |
A vector specifying the true underlying genetic model(s): 'Dominant', 'Additive', 'Recessive' or 'All' |
Test.Model |
A vector specifying the assumed genetic model(s) used in testing: 'Dominant', 'Additive', 'Recessive' or 'All' |
a function to be used as the integrand for the mle
1 2 | ll.ge.logistic.lin.envir(sd_e = 1, MAF = 0.2, N = 30, beta0 = -1.462531, OR_G = 1.1,
OR_E = 1.2, OR_GE = 1.5, Alpha = 0.05, True.Model = "Dominant", Test.Model = "Dominant")
|
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