Mixed Multivariate Cumulative Incidence Functions


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Documentation for package ‘mmcif’ version 0.1.1

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log_chol Computes the Log Cholesky Decomposition and the Inverse
log_chol_inv Computes the Log Cholesky Decomposition and the Inverse
mmcif_data Sets up an Object to Compute the Log Composite Likelihood
mmcif_fit Fits a Mixed Competing Risk Model
mmcif_logLik Evaluates the Log Composite Likelihood and its Gradient
mmcif_logLik_grad Evaluates the Log Composite Likelihood and its Gradient
mmcif_pd_bivariate Computes Marginal Measures Using Two Observations
mmcif_pd_cond Computes Marginal Measures Using Two Observations
mmcif_pd_univariate Computes Marginal Measures for One Observation
mmcif_sandwich Computes the Sandwich Estimator
mmcif_start_values Finds Staring Values