khi2 | R Documentation |
This function computes the p-value of the khi2 goodness-of-fit test (only for univariate data).
khi2(data, proportion, mu, pi, nBoot = 1000)
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 comparison of the model (dispersion parameters). |
nBoot |
number of bootstrap iterations used to estimate the p-value. |
the p-value of the test.
Quentin Grimonprez
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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