POplugin                Fits a proportional odds model via pooled
                        logistic regression.
bca_interval            Compute a BCa confidence interval
bca_logodds             Compute a BCa bootstrap confidence interval for
                        the weighted mean. The code is based on the
                        slides found here:
                        http://users.stat.umn.edu/~helwig/notes/bootci-Notes.pdf
bca_mannwhitney         Compute a BCa bootstrap confidence interval for
                        the Mann-Whitney parameter. The code is based
                        on the slides found here:
                        http://users.stat.umn.edu/~helwig/notes/bootci-Notes.pdf
bca_marg_dist           Compute a BCa bootstrap confidence interval for
                        the weighted mean. The code is based on the
                        slides found here:
                        http://users.stat.umn.edu/~helwig/notes/bootci-Notes.pdf
bca_wmean               Compute a BCa bootstrap confidence interval for
                        the weighted mean. The code is based on the
                        slides found here:
                        http://users.stat.umn.edu/~helwig/notes/bootci-Notes.pdf
compute_trt_spec_bca_intervals
                        Used to compute treatment-specific BCa
                        intervals for the CDF and PMF
compute_trt_spec_marg_dist_ptwise_ci
                        Compute simultaneous confidence interval for
                        treatment-specific marginal distribution
compute_trt_spec_marg_dist_simul_ci
                        Compute simultaneous confidence interval for
                        treatment-specific marginal distribution
covid19                 Simulated COVID-19 outcomes for hospitalized
                        patients.
drord                   Doubly robust estimates of for evaluating
                        effects of treatments on ordinal outcomes.
eif_pmf_k               Get EIF estimates for treatment-specific PMF at
                        a particular level of the outcome
eif_theta_k             Get EIF estimates for treatment-specific CDF at
                        a particular level of the outcome
estimate_cdf            Map an estimate of the conditional PMF into an
                        estimate of the conditional CDF
estimate_ci_logodds     Compute confidence interval/s for the log-odds
                        parameters
estimate_ci_mannwhitney
                        Compute confidence interval/s for the
                        Mann-Whitney parameter
estimate_ci_marg_dist   Compute confidence interval/s for the treatment
                        specific PMF and CDF.
estimate_ci_wmean       Compute confidence interval/s for the weight
                        mean parameters
estimate_cond_mean      Map an estimate of treatment-specific PMF into
                        an estimate of treatment specific conditional
                        mean for each observation.
estimate_eif_wmean      Obtain an estimate of the efficient influence
                        function for the treatment-specific weighted
                        mean parameter
estimate_logodds        implements a plug-in estimator of equation (2)
                        in Diaz et al
estimate_mannwhitney    Compute the estimate of Mann-Whitney based on
                        conditional CDF and PMF
estimate_pmf            Get a treatment-specific estimate of the
                        conditional PMF.  Essentially this is a wrapper
                        function for 'fit_trt_spec_reg', which fits the
                        proportion odds model in a given treatment arm.
estimate_treat_prob     Estimate probability of receiving each level of
                        treatment
estimate_wmean          Compute the estimate of the weighted mean
                        parameter based on estimated PMF in each
                        treatment arm.
evaluate_beta_cov       Get the covariance matrix for beta
evaluate_mannwhitney_gradient
                        Compute the estimated gradient of the
                        Mann-Whitney parameter. Needed to derive
                        standard error for Wald confidence intervals.
evaluate_marg_cdf_eif   Get eif estimates for treatment-specific CDF
evaluate_marg_cdf_ptwise_ci
                        Evaluate pointwise confidence interval for
                        marginal CDF.
evaluate_marg_dist_simul_ci
                        Evaluate simultaneous confidence interval for
                        marginal PMF or CDF.
evaluate_marg_pmf_eif   Get eif estimates for treatment-specific PMF
evaluate_marg_pmf_ptwise_ci
                        Evaluate pointwise confidence interval for
                        marginal PMF.
evaluate_theta_cov      get a covariance matrix for the estimated CDF
evaluate_trt_spec_pmf_eif
                        Get a matrix of eif estimates for
                        treatment-specific PMF
evaluate_trt_spec_theta_eif
                        get a matrix of eif estimates for the
                        treatment-specific CDF estimates
fit_trt_spec_reg        Helper function to fit a treatment specific
                        outcome regression.  If there are more than 2
                        observed levels of the outcome for the
                        specified treatment arm, then 'polr' is used
                        from the 'MASS' package. Otherwise logistic
                        regression is used. In both cases, inverse
                        probability of treatment weights are included
                        in the regression.  If there are levels of the
                        outcome that are not observed in this treatment
                        group, then 0's are added in. The function
                        returns a matrix with named columns
                        corresponding to each outcome (ordered
                        numerically). The entries represent the
                        estimated covariate-conditional
                        treatment-specific PMF.
getResponseFromFormula
                        Get a response from model formula
get_one_logodds         Compute one log odds based on a given data set.
get_one_mannwhitney     Compute one estimate of Mann-Whitney parameter
                        based on a given data set.
get_one_marg_dist       Compute one estimate of the marginal CDF/PMF on
                        a given data set.
get_one_wmean           Compute one weighted mean based on a given data
                        set.
jack_logodds            Compute jackknife log-odds estimates.
jack_mannwhitney        Compute Mann-Whitney log-odds estimates.
jack_marg_cdf           Compute jackknife distribution estimates.
jack_wmean              Compute jackknife weighted mean estimates.
marginalize_cdf         Marginalize over empirical distribution to
                        obtain marginal treatment-specific CDF
                        estimate.
marginalize_pmf         Marginalize over empirical distribution to
                        obtain marginal treatment-specific PMF
                        estimate.
one_boot_logodds        Get one bootstrap computation of the log odds
                        parameters.
one_boot_mannwhitney    Get one bootstrap computation of the
                        Mann-Whitney parameter.
one_boot_marg_dist      Get one bootstrap computation of the CDF and
                        PMF estimates
one_boot_wmean          Get one bootstrap computation of the weighted
                        mean parameters.
plot.drord              Print the output of a '"drord"' object.
predict.POplugin        Predict method for a 'POplugin' object
print.drord             Print the output of a '"drord"' object.
trimmed_logit           Trimmed logistic function
wald_ci_wmean           Compute a Wald confidence interval for the
                        weighted mean
