Description Usage Arguments Value Author(s) Examples
This function computes the p-value of the khi2 adequation test (only for univariate data).
1 |
data |
a matrix in which each row is a rank of size m. |
proportion |
a vector (which sums to 1) containing the K mixture proportion. |
mu |
a matrix of size K*m, where m is the size of a rank, containing the modal rankings of the model (position parameters). |
pi |
a vector of size K, where K is the number of clusters, containing the probabilities of a good paired comparaison of the model (dispersion parameters). |
nBoot |
number of bootstrap iterations used to estimate the khi2 adequation test p-value. |
a real, the p-value of the khi2 adequation test.
Quentin Grimonprez
1 2 3 4 5 6 7 | proportion <- c(0.4, 0.6)
pi <- c(0.8, 0.75)
mu <- matrix(c(1, 2, 3, 4, 4, 2, 1, 3), nrow = 2, byrow = TRUE)
# simulate a data set with declared parameters.
data <- rbind(simulISR(proportion[1] * 100, pi[1], mu[1,]),
simulISR(proportion[2] * 100, pi[2], mu[2,]))
pval <- khi2(data, proportion, mu, pi)
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