Description Usage Arguments Value
Computes the bootstrap critical values of the modified EM test.
1 2 | mvnmixCritBoot(y, parlist, values = NULL, ninits = 10, nbtsp = 199,
parallel = 0, cl = NULL, LRT.penalized = FALSE)
|
y |
n by d matrix of data |
parlist |
The parameter estimates as a list containing alpha, mu, and sigma in the form of (alpha = (alpha_1,...,alpha_m), mu = (mu_1',...,mu_m'), sigma = (vech(sigma_1)',...,vech(sigma_m)') |
values |
3 by 1 Vector of length 3 (k = 1, 2, 3) at which the p-values are computed |
ninits |
The number of initial candidates to be generated |
nbtsp |
The number of bootstrap observations; by default, it is set to be 199. |
parallel |
Determines what percentage of available cores are used, represented by a double in [0,1]. 0.75 is default. |
cl |
Cluster used for parallelization (optional) |
A list with the following items:
crit |
3 by 3 matrix of (0.1, 0.05, 0.01 critical values), jth row corresponding to k=j |
pvals |
A vector of p-values at k = 1, 2, 3 |
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