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
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
