# M-Estimation and Empirical Sandwich Variance Estimation

## Documentation for package ‘deli’ version 0.1.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

A B C D E F G I L M N P R S T V W Z

## -- A --

actg175 | ACTG 175 clinical trial data
additive_design_matrix | Build an additive design matrix for GAMs
aft_predictions_function | Function-level predicted survival measures from an AFT model
aft_predictions_individual | Predicted survival measures from an AFT model
aggregate_efuncs | Aggregate estimating function contributions by group
augment.deli::deli_estimator | Augment data with predictions from a fitted deli estimator

## -- B --

bonate_adverse | Bonate adverse events data
breast_cancer | Breast cancer survival data

## -- C --

coef.deli::deli_estimator | Standard S3 generics for deli estimators
collett_bladder | Collett bladder cancer recurrence data
compute_confidence_bands | Compute confidence bands from theta and covariance
compute_sandwich | Compute the empirical sandwich variance estimator
confidence_bands | Confidence bands for parameter vectors
confidence_intervals | Confidence intervals for M-Estimator parameters
confint.deli::deli_estimator | Standard S3 generics for deli estimators
convert_survival_measures | Convert between survival analysis measures
crime | US state crime data
cutler1995 | Cutler (1995) pharmacodynamic data

## -- D --

deli-augment | Augment data with predictions from a fitted deli estimator
deli-conditions | The condition classes deli raises
deli-display | Display methods for deli estimators
deli-generics | Standard S3 generics for deli estimators
deli-predict | Predictions from a fitted deli estimator
deli-tidiers | Broom tidiers for deli estimators
deli_digamma | Digamma function
deli_polygamma | Polygamma function
deli_spline | Generate polynomial spline basis terms
delta_method | Delta method for variance of transformed parameters
deviance.deli::deli_estimator | Standard S3 generics for deli estimators
df.residual.deli::deli_estimator | Standard S3 generics for deli estimators

## -- E --

ee_2sls | Estimating equations for Two-Stage Least Squares (2SLS)
ee_additive_regression | Estimating equation for additive regression (GAM)
ee_aft | Estimating equation for accelerated failure time models
ee_aipw | Estimating equations for augmented inverse probability weighting (AIPW)
ee_beta_regression | Estimating equation for beta regression
ee_bridge_regression | Estimating equation for bridge penalized regression
ee_dlasso_regression | Estimating equation for differentiable LASSO regression
ee_elasticnet_regression | Estimating equation for elastic net regression
ee_emax | Estimating equation for E-max dose-response model
ee_emax_ed | Estimating equation for delta-effective dose (E-max)
ee_gestimation_snmm | Estimating equations for g-estimation of structural nested mean models
ee_gformula | Estimating equations for the g-formula (g-computation)
ee_glm | Estimating equation for generalized linear models
ee_ipw | Estimating equations for inverse probability weighting (IPW)
ee_ipw_msm | Estimating equations for IPW marginal structural model
ee_iv_causal | Estimating equations for instrumental variable (IV) estimation
ee_lasso_regression | Estimating equation for approximate LASSO regression
ee_loglogistic | Estimating equation for 4-parameter log-logistic dose-response model
ee_loglogistic_ed | Estimating equation for delta-effective dose (log-logistic)
ee_mean | Estimating equation for the mean
ee_mean_geometric | Estimating equation for the geometric mean
ee_mean_robust | Estimating equation for the robust mean
ee_mean_sensitivity_analysis | Estimating equations for weighted sensitivity analysis of the mean
ee_mean_variance | Estimating equations for the mean and variance
ee_mlogit | Estimating equation for multinomial logistic regression
ee_percentile | Estimating equation for the percentile
ee_plogit | Estimating equation for pooled logistic regression
ee_positive_mean_deviation | Estimating equations for the positive mean deviation
ee_regression | Estimating equation for regression
ee_regression_calibration | Estimating equation for regression calibration
ee_ridge_regression | Estimating equation for ridge regression
ee_robust_regression | Estimating equation for robust regression
ee_rogan_gladen | Estimating equation for Rogan-Gladen correction
ee_rogan_gladen_extended | Estimating equation for extended Rogan-Gladen correction
ee_survival_model | Estimating equation for parametric survival models
ee_tobit | Estimating equation for Tobit regression (Type I)
estimate | Estimate parameters and sandwich variance

## -- F --

fitted.deli::deli_estimator | Standard S3 generics for deli estimators
formula.deli::deli_estimator | Standard S3 generics for deli estimators

## -- G --

get_tested | GetTested randomized trial data
glance.deli::deli_estimator | Broom tidiers for deli estimators
GMMEstimator | GMM Estimator
gmm_estimate | One-step GMM estimation
gmm_estimate.default | One-step GMM estimation
gmm_estimate.formula | One-step GMM estimation

## -- I --

identity_transform | Identity transformation
inderjit | Inderjit dose-response data
influence_functions | Influence functions for M-Estimator
inverse_logit | Inverse logistic transformation

## -- L --

lau_wihs | Lau WIHS HIV/CD4 data
logit | Logistic transformation
logLik.deli::deli_estimator | Standard S3 generics for deli estimators

## -- M --

MEstimator | M-Estimator
model.frame.deli::deli_estimator | Standard S3 generics for deli estimators
model.matrix.deli::deli_estimator | Standard S3 generics for deli estimators
mroz | Mroz labor force participation data
m_estimate | One-step M-estimation
m_estimate.default | One-step M-estimation
m_estimate.formula | One-step M-estimation

## -- N --

nobs.deli::deli_estimator | Standard S3 generics for deli estimators
nsduh | NSDUH substance use survey data

## -- P --

plogit_predict | Predicted survival measures from a pooled logistic regression model
pparg | PPARg cheminformatics data
predict.deli::deli_estimator | Predictions from a fitted deli estimator
print.deli::deli_estimator | Display methods for deli estimators
p_values | P-values for M-Estimator parameters

## -- R --

regression_predictions | Generate predicted values from a regression model
residuals.deli::deli_estimator | Standard S3 generics for deli estimators
robust_loss_functions | Robust loss function derivatives
robust_regress | Robust regression example data

## -- S --

sdss_quasar | SDSS quasar survey data
shaq_free_throws | Shaquille O'Neal free throw data
sigma.deli::deli_estimator | Standard S3 generics for deli estimators
standard_normal_cdf | Standard normal CDF
standard_normal_pdf | Standard normal PDF
summary.deli::deli_estimator | Display methods for deli estimators
survival_predictions | Generate predicted survival measures from a parametric survival model
s_values | S-values (surprisal) for M-Estimator parameters

## -- T --

terms.deli::deli_estimator | Standard S3 generics for deli estimators
tidy.deli::deli_estimator | Broom tidiers for deli estimators

## -- V --

vcov.deli::deli_estimator | Standard S3 generics for deli estimators

## -- W --

weights.deli::deli_estimator | Standard S3 generics for deli estimators

## -- Z --

z_scores | Z-scores for M-Estimator parameters