R: Assumption-Lean and Data-Adaptive Post-Prediction Inference

# Assumption-Lean and Data-Adaptive Post-Prediction Inference

## Documentation for package ‘POPInf’ version 1.0.0

- DESCRIPTION file
- Package README

## Help Pages

A | Calculation of the matrix A based on single dataset
est_ini | Initial estimation
link_grad | gradient of the link function
link_Hessian | Hessians of the link function
mean_psi | Sample expectation of psi
mean_psi_pop | Sample expectation of POP-Inf psi
optim_est | Gradient descent for obtaining estimator
optim_weights | Gradient descent for obtaining the weight vector
pop_M | POP-Inf M-Estimation
psi | Esimating equation
Sigma_cal | Variance-covariance matrix of the estimation equation
sim_data | Simulate the data for testing the functions