| bhm-package |
An R package for the biomarker threshold models |
| arns |
Function to perform Adaptive Rejection Sampling |
| ars |
Function to perform Adaptive Rejection Sampling |
| bhm |
Fitting Biomarker Threshold Models |
| bhm-doc |
An R package for the biomarker threshold models |
| bhm.default |
Fitting Biomarker Threshold Models |
| bhm.formula |
Fitting Biomarker Threshold Models |
| bhmControl |
Auxiliary function for bhm fitting |
| bhmFit |
Fitting Biomarker Threshold Models |
| bhmGibbs |
Fitting Biomarker Threshold Models |
| brm |
Fitting Biomarker Continuous Threshold Models |
| brm.default |
Fitting Biomarker Continuous Threshold Models |
| brm.formula |
Fitting Biomarker Continuous Threshold Models |
| coxScoreHess |
Calculate the Score / Jacobian Function |
| data |
dataset |
| dpicexp |
The Piecewise Exponential Distribution |
| gendat.glm |
dataset |
| gendat.surv |
dataset |
| ggkm |
Creates a Kaplan-Meier plot with at risk tables below |
| glmpLRT |
Penalized likelihood ratio test for the generalized linear models. |
| glmpLRT.default |
Penalized likelihood ratio test for the generalized linear models. |
| glmpLRT.formula |
Penalized likelihood ratio test for the generalized linear models. |
| Hpicexp |
The Piecewise Exponential Distribution |
| hpicexp |
The Piecewise Exponential Distribution |
| llm |
Fit an L-shape linear model |
| llm.default |
Fit an L-shape linear model |
| llm.formula |
Fit an L-shape linear model |
| mpl |
Joint models for clustered data with binary and survival outcomes. |
| mpl.formula |
Joint models for clustered data with binary and survival outcomes. |
| mplFit |
Joint models for clustered data with binary and survival outcomes. |
| multiRoot |
m-Dimensional Root (Zero) Finding |
| numHessian |
Calculate Hessian or Information Matrix |
| numJacobian |
Calculate the Score / Jacobian Function |
| numScore |
Calculate the Score / Jacobian Function |
| picfit |
The Piecewise Exponential Distribution |
| picreg |
The Piecewise Exponential Distribution |
| pIndex |
Probability Index for Survival Time Difference |
| pIndex.default |
Probability Index for Survival Time Difference |
| pIndex.formula |
Probability Index for Survival Time Difference |
| pIndexControl |
Auxiliary function for pIndex fitting |
| pIndexFit |
Probability Index for Survival Time Difference |
| pIndexLocal |
Probability Index for Survival Time Difference |
| pIndexThreshold |
Probability Index for Survival Time Difference |
| plot.bhm |
Plot a fitted biomarker threhold model |
| plot.brm |
Plot a fitted biomarker threhold model |
| plot.glmpLRT |
Penalized likelihood ratio test for the generalized linear models. |
| plot.llm |
Fit an L-shape linear model |
| plot.pIndex |
Plot a fitted biomarker threhold model |
| plot.resboot |
Plot a fitted biomarker threhold model |
| plot.residuals.brm |
Plot a fitted biomarker threhold model |
| plot.rmscb |
Fitting Restricted Mean Survival Time Models with a Continuous Biomarker |
| ppicexp |
The Piecewise Exponential Distribution |
| print.bhm |
print a fitted object or a summary of fitted object |
| print.brm |
print a fitted object or a summary of fitted object |
| print.glmpLRT |
Penalized likelihood ratio test for the generalized linear models. |
| print.llm |
Fit an L-shape linear model |
| print.mpl |
print a fitted object or a summary of fitted object |
| print.picreg |
print a fitted object or a summary of fitted object |
| print.pIndex |
print a fitted object or a summary of fitted object |
| print.resboot |
print a fitted object or a summary of fitted object |
| print.rmscb |
Fitting Restricted Mean Survival Time Models with a Continuous Biomarker |
| print.summary.bhm |
print a fitted object or a summary of fitted object |
| print.summary.brm |
print a fitted object or a summary of fitted object |
| prolikControl |
Auxiliary function for bhm fitting |
| prolikFit |
Fitting Biomarker Threshold Models |
| qpicexp |
The Piecewise Exponential Distribution |
| resboot |
Rresidual Bootstrap Test (RBT) for treatment-biomarker interaction |
| resboot.default |
Rresidual Bootstrap Test (RBT) for treatment-biomarker interaction |
| resboot.formula |
Rresidual Bootstrap Test (RBT) for treatment-biomarker interaction |
| residuals.brm |
Fitting Biomarker Continuous Threshold Models |
| rmscb |
Fitting Restricted Mean Survival Time Models with a Continuous Biomarker |
| rmscb.default |
Fitting Restricted Mean Survival Time Models with a Continuous Biomarker |
| rmscb.formula |
Fitting Restricted Mean Survival Time Models with a Continuous Biomarker |
| rmsControl |
Fitting Restricted Mean Survival Time Models with a Continuous Biomarker |
| rpicexp |
The Piecewise Exponential Distribution |
| rpwexp |
Function to perform Adaptive Rejection Sampling |
| summary.bhm |
Fitting Biomarker Threshold Models |
| summary.brm |
Fitting Biomarker Continuous Threshold Models |
| summary.glmpLRT |
Penalized likelihood ratio test for the generalized linear models. |
| summary.picreg |
The Piecewise Exponential Distribution |
| summary.rmscb |
Fitting Restricted Mean Survival Time Models with a Continuous Biomarker |
| thm.fit |
Fitting Biomarker Threshold Models |
| thm.lik |
Fitting Biomarker Threshold Models |
| x.cdf |
Fitting Biomarker Threshold Models |
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