Learn R Programming

drord (version 1.0.1)

Doubly-Robust Estimators for Ordinal Outcomes

Description

Efficient covariate-adjusted estimators of quantities that are useful for establishing the effects of treatments on ordinal outcomes.

Copy Link

Version

Install

install.packages('drord')

Monthly Downloads

143

Version

1.0.1

License

MIT + file LICENSE

Issues

0

Pull Requests

0

Stars

4

Forks

1

Maintainer

David Benkeser

Last Published

May 20th, 2021

Functions in drord (1.0.1)

drord

Doubly robust estimates of for evaluating effects of treatments on ordinal outcomes.
evaluate_mannwhitney_gradient

Compute the estimated gradient of the Mann-Whitney parameter. Needed to derive standard error for Wald confidence intervals.
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
estimate_ci_wmean

Compute confidence interval/s for the weight mean parameters
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
evaluate_marg_cdf_ptwise_ci

Evaluate pointwise confidence interval for marginal CDF.
estimate_ci_marg_dist

Compute confidence interval/s for the treatment specific PMF and CDF.
evaluate_theta_cov

get a covariance matrix for the estimated CDF
estimate_cond_mean

Map an estimate of treatment-specific PMF into an estimate of treatment specific conditional mean for each observation.
estimate_logodds

implements a plug-in estimator of equation (2) in Diaz et al
eif_pmf_k

Get EIF estimates for treatment-specific PMF at a particular level of the outcome
jack_mannwhitney

Compute Mann-Whitney log-odds estimates.
get_one_marg_dist

Compute one estimate of the marginal CDF/PMF on a given data set.
estimate_mannwhitney

Compute the estimate of Mann-Whitney based on conditional CDF and PMF
evaluate_marg_dist_simul_ci

Evaluate simultaneous confidence interval for marginal PMF or CDF.
jack_marg_cdf

Compute jackknife distribution estimates.
get_one_mannwhitney

Compute one estimate of Mann-Whitney parameter based on a given data set.
one_boot_wmean

Get one bootstrap computation of the weighted mean parameters.
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.
one_boot_logodds

Get one bootstrap computation of the log odds parameters.
marginalize_pmf

Marginalize over empirical distribution to obtain marginal treatment-specific PMF estimate.
compute_trt_spec_marg_dist_simul_ci

Compute simultaneous confidence interval for treatment-specific marginal distribution
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
print.drord

Print the output of a "drord" object.
evaluate_marg_cdf_eif

Get eif estimates for treatment-specific CDF
predict.POplugin

Predict method for a POplugin object
jack_wmean

Compute jackknife weighted mean estimates.
covid19

Simulated COVID-19 outcomes for hospitalized patients.
evaluate_trt_spec_pmf_eif

Get a matrix of eif estimates for treatment-specific PMF
estimate_eif_wmean

Obtain an estimate of the efficient influence function for the treatment-specific weighted mean parameter
plot.drord

Print the output of a "drord" object.
estimate_cdf

Map an estimate of the conditional PMF into an estimate of the conditional CDF
get_one_logodds

Compute one log odds based on a given data set.
marginalize_cdf

Marginalize over empirical distribution to obtain marginal treatment-specific CDF estimate.
estimate_ci_logodds

Compute confidence interval/s for the log-odds parameters
evaluate_marg_pmf_eif

Get eif estimates for treatment-specific PMF
evaluate_marg_pmf_ptwise_ci

Evaluate pointwise confidence interval for marginal PMF.
POplugin

Fits a proportional odds model via pooled logistic regression.
estimate_ci_mannwhitney

Compute confidence interval/s for the Mann-Whitney parameter
evaluate_beta_cov

Get the covariance matrix for beta
jack_logodds

Compute jackknife log-odds estimates.
estimate_wmean

Compute the estimate of the weighted mean parameter based on estimated PMF in each treatment arm.
bca_interval

Compute a BCa confidence interval
getResponseFromFormula

Get a response from model formula
eif_theta_k

Get EIF estimates for treatment-specific CDF at a particular level of the outcome
trimmed_logit

Trimmed logistic function
wald_ci_wmean

Compute a Wald confidence interval for the weighted mean
get_one_wmean

Compute one weighted mean based on a given data set.
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
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