Sieve Analysis Methods for Proportional Hazards Models

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Documentation for package ‘sievePH’ version 1.1

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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