C | Adjacency matrix of 46 South Carolina counties |
clusterIC_int | PH model with random intercept for clustered general... |
clusterIC_int_DP | PH model with random intercept for clustered general... |
clusterIC_trt | PH model with random intercept and random treatment for... |
clusterIC_trt_DP | PH model with random intercept and random treatment for... |
clusterIC_Z | Mixed effects PH model for clustered general... |
clusterIC_Z_DP | Mixed effects PH model for clustered general... |
clusterPIC_int | PH model with random intercept for clustered partly... |
clusterPIC_int_DP | PH model with random intercept for clustered partly... |
clusterPIC_trt | PH model with random intercept and random treatment for... |
clusterPIC_trt_DP | PH model with random intercept and random treatment for... |
clusterPIC_Z | Mixed effects PH model for clustered partly interval-censored... |
clusterPIC_Z_DP | Mixed effects PH model for clustered partly interval-censored... |
coef.PICBayes | Coef method for a PICBayes model |
da1 | Partly interva-censored data |
da2 | Clustered partly interva-censored data |
da3 | Clustered partly interva-censored data |
da4 | Clustered partly interva-censored data |
IC | PH model for general interval-censored data |
logLik.PICBayes | LogLik method for a PICBayes model |
mCRC | Colorectal cancer data |
PIC | PH model for partly interval-censored data |
PICBayes | Bayesian models for partly interval-censored data and general... |
PICBayes-package | Bayesian Models for Partly Interval-Censored Data and General... |
plot.PICBayes | Plot method for a PICBayes model |
spatialIC | PH model for spatial general interval-censored data |
spatialPIC | PH model for spatial partly interval-censored data |
summary.PICBayes | Summary method for a PICBayes model |
SurvtoLR | Transform Surv object to data matrix with L and R columns |
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