R: Sieve Analysis Methods for Proportional Hazards Models

# Sieve Analysis Methods for Proportional Hazards Models

## Documentation for package ‘sievePH’ version 1.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

ggplot_sieve | Plotting Univariate Mark-Specific Proportional Hazards Model Fits Using 'ggplot'
kernel_sievePH | Nonparametric Kernel-Smoothed Stratified Mark-Specific Proportional Hazards Model with a Univariate Continuous Mark, Fully Observed in All Failures.
kernel_sievePHaipw | Nonparametric Kernel-Smoothed Stratified Mark-Specific Proportional Hazards Model with a Univariate Continuous Mark, Missing-at-Random in Some Failures
plot.summary.sievePH | Plotting Mark-Specific Proportional Hazards Model Fits
print.summary.kernel_sievePH | Summarizing Nonparametric Kernel-Smoothed Stratified Mark-Specific Proportional Hazards Model Fits
print.summary.sievePH | Summarizing Mark-Specific Proportional Hazards Model Fits
sievePH | Semiparametric Estimation of Coefficients in a Mark-Specific Proportional Hazards Model with a Multivariate Continuous Mark, Fully Observed in All Failures
sievePHaipw | Semiparametric Augmented Inverse Probability Weighted Complete-Case Estimation of Coefficients in a Mark-Specific Proportional Hazards Model with a Multivariate Continuous Mark, Missing-at-Random in Some Failures
sievePHipw | Semiparametric Inverse Probability Weighted Complete-Case Estimation of Coefficients in a Mark-Specific Proportional Hazards Model with a Multivariate Continuous Mark, Missing-at-Random in Some Failures
summary.kernel_sievePH | Summarizing Nonparametric Kernel-Smoothed Stratified Mark-Specific Proportional Hazards Model Fits
summary.sievePH | Summarizing Mark-Specific Proportional Hazards Model Fits
testDensRatioGOF | Goodness-of-Fit Test of the Validity of a Univariate or Multivariate Mark Density Ratio Model
testIndepTimeMark | Kolmogorov-Smirnov-Type Test of Conditional Independence between the Time-to-Event and a Multivariate Mark Given Treatment