Multivariate Difference Between Two Groups

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Documentation for package ‘multid’ version 0.9.0

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colwise_pool Column-wise pooling of standard deviations
cvv Coefficient of variance variation
cvv_manual Coefficient of variance variation from manual input sample sizes and variance estimates
ddsc_ml Deconstructing difference score correlation with multi-level modeling
ddsc_sem Deconstructing difference score correlation with structural equation modeling
diff_two_dep_cors Difference between two dependent Pearson's correlations (with common index)
d_pooled_sd Standardized mean difference with pooled standard deviation
D_regularized Multivariate group difference estimation with regularized binomial regression
D_regularized_fold Use manually defined data folds for regularization and obtain estimates for each separately.
D_regularized_fold_out Use separate data partitions for regularization and estimation across defined data folds.
D_regularized_out Use separate data partition for regularization and estimation.
D_regularized_vanilla Use same data partition for regularization and estimation.
ml_dadas Predicting algebraic difference scores in multilevel model
pcc Returns probabilities of correct classification for both groups in independent data partition.
qcc Quantile correlation coefficient
reliability_dms Reliability calculation for difference score variable that is a difference between two mean variables calculated over upper-level units (e.g., sex differences across countries)
sem_dadas Predicting algebraic difference scores in structural equation model
value_correlation Testing and quantifying how much ipsatization (profile centering) influence associations between value and a correlate
vpc_at Variance partition coefficient calculated at different level-1 values