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Check for highly correlated parameter estimates
check_high_correlations(model, cor, limit = 0.9)
(data.frame) Correlation values indexed on pairs of parameters for (absolute) correlations above limit
(Model) Pharmpy model object
(data.frame) Estimated correlation matrix
(numeric) Lower limit for a high correlation
if (FALSE) { model <- load_example_model("pheno") results <- load_example_modelfit_results("pheno") cor <- results$correlation_matrix check_high_correlations(model, cor, limit=0.3) }
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