hdrm - Inference for High-Dimensional Repeated Measures

Provides one-group and multiple-group tests for expectation vectors in high-dimensional repeated-measures designs. Hypotheses can be specified through projection matrices or by selecting predefined effects. The multiple-group procedures cover heterogeneous and equal covariance matrices. Centered and standardized chi-square approximations are combined with exact or subsampling-based trace estimators. The functions return p-values, test statistics, estimated degrees of freedom, and convergence parameters. For further details, see Sattler and Hichert (2025) <doi:10.48550/arXiv.2512.17478>.