Description Usage Arguments Value Examples
View source: R/likelihood_calc_function.R
Calculates the log likelihood for a given set of linear regression coefficients under an additive genetic model.
1 | additive.ll.linear(beta, m, es, sd_y_x_model, sd_y_x_truth)
|
beta |
Vector of linear regression coefficients. |
m |
Minor allele frequency. |
es |
Vector of effect sizes with two elements, (mean AB - mean AA) and (mean BB - mean AA). |
sd_y_x_model |
The standard deviation of Y (the outcome) given X (predictors/genotype) under the test model. |
sd_y_x_truth |
The standard deviation of Y given X (predictors/genotype) given genotype under the true model. |
The log likelihood.
1 2 | additive.ll.linear(beta = c(-0.03, 0.3), m = 0.1, es = c(0,3),
sd_y_x_model = 0.9918669, sd_y_x_truth = 0.9544108)
|
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