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  "Description": "spicyR tests whether the spatial co-localisation of pairs\nof cell types differs between groups of patients, or is\nassociated with patient outcome, in cell-resolution spatial\nomics data (imaging mass cytometry, CODEX, MIBI, Xenium, CosMx\nand others). Its default method, spicyR Cell, counts the cells\nof one type within a radius of each cell of another and\ncompares the count with its exact expectation under random\nlabelling of the observed cells. Images are combined within\npatients by a frailty generalised estimating equation, and\ndifferences are tested with a small-sample cluster-robust (CR2)\nvariance with patients as the units. Covariates, several\nconditions, several radii and survival outcomes are supported,\nand the original image-level test is kept as an option. The\ncomputations run in a C++ core shared with the Python package\nspicyr.",
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