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#' @title calculate overall significance p-value
#' @description
#' Calculates the p-value of a score given the hypothesis score and the
#' distribution table, using either the quartic or the (faster) cubic algorithm
#' @export
#' @concept CausalR
#' @param hypothesisScore score for a particular hypothesis
#' @param predictionListStats numbers of predicted up-regulated,
#' predicted down-regulated and ambiguous predictions predicted by the algorithm
#' @param experimentalResultStats numbers of up-regulated,
#' down-regulated and not significantly changed transcripts in the
#' experimental data
#' @param epsilon threshold that is used when calculating the p-value
#' using the cubic algorithm
#' @param useCubicAlgorithm use the cubic algorithm, defaults to TRUE
#' @param use1bAlgorithm use the 1b version of the algorithm, defaults to TRUE
#' used to calculate the p-value
#' @return the resulting p-value
#' @examples
#' CalculateSignificance(5, c(7,4,19), c(6,6,18))
#' CalculateSignificance(5, c(7,4,19), c(6,6,18), useCubicAlgorithm=TRUE)
#' CalculateSignificanceUsingQuarticAlgorithm(5, c(7,4,19), c(6,6,18))
#' CalculateSignificance(5, c(7,4,19), c(6,6,18), useCubicAlgorithm=FALSE)
#' CalculateSignificance(5, c(7,4,19), c(6,6,18), 1e-5)
#' CalculateSignificance(5, c(7,4,19), c(6,6,18), epsilon=1e-5, useCubicAlgorithm=TRUE)
#' CalculateSignificanceUsingCubicAlgorithm(5, c(7,4,19), c(6,6,18), 1e-5)
CalculateSignificance <- function(hypothesisScore, predictionListStats, experimentalResultStats, epsilon = 1e-05, useCubicAlgorithm = TRUE, use1bAlgorithm = TRUE) {
if (useCubicAlgorithm) {
if (use1bAlgorithm) {
pValue <- CalculateSignificanceUsingCubicAlgorithm1b(hypothesisScore, predictionListStats, experimentalResultStats, epsilon)
} else {
pValue <- CalculateSignificanceUsingCubicAlgorithm(hypothesisScore, predictionListStats, experimentalResultStats, epsilon)
}
} else {
pValue <- CalculateSignificanceUsingQuarticAlgorithm(hypothesisScore, predictionListStats, experimentalResultStats)
}
return(pValue)
}
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