All functions |
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Create a multitype outcome object |
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Extract model coefficients |
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Confidence intervals for Cyclops model parameters |
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Convert data from two data frames or ffdf objects into a CyclopsData object |
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Convert short sparse covariate table to long sparse covariate table for time-varying coefficients. |
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Coverage |
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Create a Cyclops control object that supports multiple hyperparameters |
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Create a Cyclops control object |
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Create a Cyclops data object |
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Create a Cyclops prior object that returns the MLE of non-separable coefficients |
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Create a Cyclops parameterized prior object |
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Create a Cyclops prior object |
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Create a Cyclops control object that supports in- / out-of-sample hyperparameter search using weights |
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Cyclops: Cyclic coordinate descent for logistic, Poisson and survival analysis |
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Fit a Cyclops model |
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Fit simulated data |
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Get covariate identifiers |
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Get covariate types |
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Profile likelihood for Cyclops model parameters |
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Creates a |
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Get floating point size |
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Get hyperparameter |
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Get total number of covariates |
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Get total number of rows |
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Get number of strata |
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Get univariable correlation |
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Get univariable linear separability |
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Check if a Cyclops data object is initialized |
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Extract log-likelihood |
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Calculates xbar*beta |
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Mean squared error |
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Oxford self-controlled case series data |
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Model predictions |
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Print a Cyclops data object |
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Print a Cyclops model fit object |
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Read Cyclops data from file |
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Simulation Cyclops dataset |
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Split the analysis time into several intervals for time-varying coefficients. |
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Cyclops data object summary |
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Calculate baseline hazard function |
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Calculate variance-covariance matrix for a fitted Cyclops model object |