Optimal Nonparametric Testing of Missing Completely at Random

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Documentation for package ‘MCARtest’ version 1.2.1

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Amatrix Generate the matrix A, whose columns are the vertices of the marginal polytope.
AmatrixSparse Generate the matrix A, whose columns are the vertices of the marginal polytope, as a sparse matrix.
aMatrixSparseRevLex Generates the row indices used internally to generate the sparse matrix A.
Cimproved Calculate the critical value for our improved test
colVector Generates the column indices used internally to generate the sparse matrix A.
col_index A function indexing the columns of A
computeR A function computing the incompatibility index for sequences of correlation matrices
compute_av Compute the columnwise average of means/variances
ConsMinkSumHrep Calculate the H-representation of the consistent Minkowski sum
Csimple Calculate the critical value for our simple test
EMiteration Perform one step of the EM algorithm for finding the MLE under MCAR in a contingency table.
EquivalenceClass Simplifies H-representation by exploiting symmetry
FuchsTest Carry out Fuchs's test of MCAR in a contingency table, given complete and incomplete observations.
get_SigmaS Computes the sequence of patterns, means, variances, covariance and correlation matrices for a given dataset with missing values.
InconsMinkSumHrep Calculate the H-representation of the general (possibly inconsistent) Minkowski sum
infoS Calculates the total cardinality of the sample spaces.
infoS2 Calculates the individual cardinalities of the sample spaces.
little_test Carry out Little's test of MCAR
loglik0 Compute the log likelihood of a probability mass function, under MCAR, given complete and incomplete data
loglik1 Compute the log likelihood of a probability mass function, without assuming MCAR, given complete and incomplete data
M Computes an inconsistency index for sequences of means.
MargPolyHrep Calculate the H-representation of the marginal polytope
margProj Internal function multiplying a mass function by the sparse matrix A.
MCAR_meancovTest Carry out a test of MCAR using first and second moments.
MLE Compute the MLE under MCAR in a contingency table using the EM algorithm, given complete and incomplete observations.
ProjectionTest Carry out a test of MCAR in a contingency table, given incomplete observations.
Rindex A function computing the incompatibility index
RindexDual A function computing the incompatibility index and associated closest joint mass function using the dual formulation
RoundErrors Round errors in halfspace representations
row_index A function indexing the rows of A
V Computes an inconsistency index for sequences of variances.