Direct Parametric Inference for the Cumulative Incidence Function in Competing Risks
Estimate Variance of Parameters Using Bootstrap Method
Compute the CDF of the Gompertz Distribution
Plot Cumulative Incidence Functions (CIF) with Confidence Intervals
Compute Cumulative Incidence Function (CIF) Results
Clean up memory by deleting the pointer to the Cmpp instance
Compute and Plot Cumulative Incidence Functions (CIF) for Competing Ri...
Direct Parametric Inference for the Cumulative Incidence Function in C...
Compute the Numerical Gradient of the Log-Likelihood
Compute the Hessian Matrix of the Log-Likelihood
Compute the Gradient of the Log-Likelihood Function Generalized odds r...
Compute the Gradient of the Log-Likelihood Function Proportional Odds ...
Compute the Gradient of the Log-Likelihood Function Proportional Hazar...
Compute the Hessian Matrix of the Log-Likelihood Function Generalized ...
Estimate Parameters for the Generalized odds rate (GOR)
Estimate Parameters for the Proportional Hazards Model (PHM)
Estimate Parameters for the Proportional Odds Model (POM)
Estimate Model Parameters Using Optimization
Compute the CDF of the Parametric Generalized odds rate (GOR)
Compute the CDF of the Parametric Proportional Odds Model (POM)
Compute the CDF of the Parametric Proportional Hazards Model (PHM)
Compute the PDF of the Parametric Generalized odds rate (GOR)
Compute the PDF of the Parametric Proportional Odds Model (POM)
Compute the PDF of the Parametric Proportional Hazards Model (PHM)
Fine-Gray Model for Competing Risks Data
Retrieve Initialized Data from the Cmpp Model
Get Dimensions of the Cmpp Object
Initialize Data for the Cmpp Model
Compute the Log-Likelihood Function Generalized odds rate (GOR)
Compute the Log-Likelihood Function Proportional Odds Model (POM)
Compute the Log-Likelihood Function Proportional Hazards Model (PHM)
Compute the Log-Likelihood for the Model
Create Dummy Variables
Create a matrix of given size filled with a constant value
Compute the PDF of the Gompertz Distribution
Implements parametric (Direct) regression methods for modeling cumulative incidence functions (CIFs) in the presence of competing risks. Methods include the direct Gompertz-based approach and generalized regression models as described in Jeong and Fine (2006) <doi:10.1111/j.1467-9876.2006.00532.x> and Jeong and Fine (2007) <doi:10.1093/biostatistics/kxj040>. The package facilitates maximum likelihood estimation, variance computation, with applications to clinical trials and survival analysis.