abc                     Compute the area between curves from the
                        '"precmed"' object
abc.precmed             Compute the area between curves from the
                        '"precmed"' object
arg.checks              Check arguments Catered to all types of outcome
                        Apply at the beginning of 'pmcount()',
                        'cvcount()', 'drcount.inference()',
                        'catefitsurv()', 'catecvsurv()', and
                        'drsurv.inference()'
arg.checks.common       Check arguments that are common to all types of
                        outcome USed inside 'arg.checks()'
atefit                  Doubly robust estimator of and inference for
                        the average treatment effect for count,
                        survival and continuous data
atefitcount             Doubly robust estimator of and inference for
                        the average treatment effect for count data
atefitmean              Doubly robust estimator of and inference for
                        the average treatment effect for continuous
                        data
atefitsurv              Doubly robust estimator of and inference for
                        the average treatment effect for survival data
auc                     Compute the area under the curve using linear
                        or natural spline interpolation
balance.split           Split the given dataset into balanced training
                        and validation sets (within a pre-specified
                        tolerance) Balanced means 1) The ratio of
                        treated and controls is maintained in the
                        training and validation sets 2) The covariate
                        distributions are balanced between the training
                        and validation sets
balancemean.split       Split the given dataset into balanced training
                        and validation sets (within a pre-specified
                        tolerance) Balanced means 1) The ratio of
                        treated and controls is maintained in the
                        training and validation sets 2) The covariate
                        distributions are balanced between the training
                        and validation sets
balancesurv.split       Split the given time-to-event dataset into
                        balanced training and validation sets (within a
                        pre-specified tolerance) Balanced means 1) The
                        ratio of treated and controls is maintained in
                        the training and validation sets 2) The
                        covariate distributions are balanced between
                        the training and validation sets
boxplot.precmed         A set of box plots of estimated ATEs from the
                        '"precmed"' object
catecv                  Cross-validation of the conditional average
                        treatment effect (CATE) score for count,
                        survival or continuous outcomes
catecvcount             Cross-validation of the conditional average
                        treatment effect (CATE) score for count
                        outcomes
catecvmean              Cross-validation of the conditional average
                        treatment effect (CATE) score for continuous
                        outcomes
catecvsurv              Cross-validation of the conditional average
                        treatment effect (CATE) score for survival
                        outcomes
catefit                 Estimation of the conditional average treatment
                        effect (CATE) score for count, survival and
                        continuous data
catefitcount            Estimation of the conditional average treatment
                        effect (CATE) score for count data
catefitmean             Estimation of the conditional average treatment
                        effect (CATE) score for continuous data
catefitsurv             Estimation of the conditional average treatment
                        effect (CATE) score for survival data
countExample            Simulated data with count outcome
cox.rmst                Estimate restricted mean survival time (RMST)
                        based on Cox regression model
data.preproc            Data preprocessing Apply at the beginning of
                        'pmcount()' and 'cvcount()', after
                        'arg.checks()'
data.preproc.mean       Data preprocessing Apply at the beginning of
                        'catefitmean()' and 'catecvmean()', after
                        'arg.checks()'
data.preproc.surv       Data preprocessing Apply at the beginning of
                        'catefitcount()', 'catecvcount()',
                        'catefitsurv()', and 'catecvsurv()', after
                        'arg.checks()'
drcount                 Doubly robust estimator of the average
                        treatment effect for count data
drmean                  Doubly robust estimator of the average
                        treatment effect for continuous data
drsurv                  Doubly robust estimator of the average
                        treatment effect with Cox model for survival
                        data
estcount.bilevel.subgroups
                        Estimate the Average Treatment Effect of the
                        log risk ratio in multiple bi-level subgroups
                        defined by the proportions
estcount.multilevel.subgroup
                        Estimate the ATE of the log RR ratio in one
                        multilevel subgroup defined by the proportions
estmean.bilevel.subgroups
                        Estimate the ATE of the mean difference in
                        multiple bi-level subgroups defined by the
                        proportions
estmean.multilevel.subgroup
                        Estimate the ATE of the mean difference in one
                        multilevel subgroup defined by the proportions
estsurv.bilevel.subgroups
                        Estimate the ATE of the RMTL ratio and
                        unadjusted hazard ratio in multiple bi-level
                        subgroups defined by the proportions
estsurv.multilevel.subgroups
                        Estimate the ATE of the RMTL ratio and
                        unadjusted hazard ratio in one multilevel
                        subgroup defined by the proportions
generate_kfold_indices
                        Generate K-fold Indices for Cross-Validation
glm.ps                  Propensity score estimation with LASSO
glm.simplereg.ps        Propensity score estimation with a linear model
intxcount               Estimate the CATE model using specified scoring
                        methods
intxmean                Estimate the CATE model using specified scoring
                        methods
intxsurv                Estimate the CATE model using specified scoring
                        methods for survival outcomes
ipcw.surv               Probability of being censored
meanCatch               Catch errors and warnings when estimating the
                        ATEs in the nested subgroup for continuous data
meanExample             Simulated data with a continuous outcome
onearmglmcount.dr       Doubly robust estimators of the coefficients in
                        the two regression
onearmglmmean.dr        Doubly robust estimators of the coefficients in
                        the two regression
onearmsurv.dr           Doubly robust estimators of the coefficients in
                        the two regression
plot.atefit             Histogram of bootstrap estimates
plot.precmed            Two side-by-side line plots of validation
                        curves from the '"precmed"' object
print.atefit            Print function for atefit
print.catefit           Print function for atefit
scorecount              Calculate the log CATE score given the baseline
                        covariates and follow-up time for specified
                        scoring method methods
scoremean               Calculate the CATE score given the baseline
                        covariates for specified scoring method methods
scoresurv               Calculate the log CATE score given the baseline
                        covariates and follow-up time for specified
                        scoring method methods for survival outcomes
survCatch               Catch errors and warnings when estimating the
                        ATEs in the nested subgroup
survivalExample         Simulated data with survival outcome
twoarmglmcount.dr       Doubly robust estimators of the coefficients in
                        the contrast regression as well as their
                        covariance matrix and convergence information
twoarmglmmean.dr        Doubly robust estimators of the coefficients in
                        the contrast regression as well as their
                        covariance matrix
twoarmsurv.dr           Doubly robust estimators of the coefficients in
                        the contrast regression as well as their
                        covariance matrix and convergence information
