R: Optimal Nonparametric Testing of Missing Completely at Random

# Optimal Nonparametric Testing of Missing Completely at Random

## Documentation for package ‘MCARtest’ version 1.3

- DESCRIPTION file

## Help Pages

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.
av | Compute the columnwise average of a collection of vectors.
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.
computeR.reg | A function computing the regularised incompatibility index for collections of correlation matrices.
ConsMinkSumHrep | Calculate the H-representation of the consistent Minkowski sum
corrCompTest | Carry out a test of MCAR checking compatibility of correlation matrices.
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 collection 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 a collection of means.
MargPolyHrep | Calculate the H-representation of the marginal polytope
margProj | Internal function multiplying a mass function by the sparse matrix A.
meanConsTest | Carry out a test of MCAR checking consistency of mean vectors.
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.
varConsTest | Carry out a test of MCAR checking consistency of variance vectors.