Inference on Predicted Data
Calculation of the matrix A based on single dataset
Augment Data from an IPD Fit
Estimate PPI++ Power Tuning Parameter
Empirical CDF Difference
Empirical CDF of the Data
Initial estimation
Glance at an IPD Fit
ipd: Inference on Predicted Data
Inference on Predicted Data (ipd)
Gradient of the link function
Hessians of the link function
Log1p Exponential
Logistic Regression Gradient and Hessian
Sample expectation of PSPA psi
Sample expectation of psi
OLS Gradient and Hessian
Ordinary Least Squares
One-step update for obtaining estimator
One-step update for obtaining the weight vector
PostPI OLS (Analytic Correction)
PostPI Logistic Regression (Bootstrap Correction)
PostPI OLS (Bootstrap Correction)
PPI Logistic Regression
PPI Mean Estimation
PPI OLS
PPI++ Logistic Regression (Point Estimate)
PPI++ Logistic Regression
PPI++ Mean Estimation (Point Estimate)
PPI++ Mean Estimation
PPI++ OLS (Point Estimate)
PPI++ OLS
PPI++ Quantile Estimation (Point Estimate)
PPI++ Quantile Estimation
PPI Quantile Estimation
Print IPD Fit
Print Summary of IPD Fit
Estimating equation
PSPA Logistic Regression
PSPA Mean Estimation
PSPA OLS Estimation
PSPA Poisson Regression
PSPA Quantile Estimation
PSPA M-Estimation for ML-predicted labels
Rectified CDF
Rectified P-Value
Objects exported from other packages
Variance-covariance matrix of the estimation equation
Simulate the data for testing the functions
Data generation function for various underlying models
Summarize IPD Fit
Tidy an IPD Fit
Weighted Least Squares
Normal Confidence Intervals
Compute Z-Statistic and P-Value
Performs valid statistical inference on predicted data (IPD) using recent methods, where for a subset of the data, the outcomes have been predicted by an algorithm. Provides a wrapper function with specified defaults for the type of model and method to be used for estimation and inference. Further provides methods for tidying and summarizing results. Salerno et al., (2024) <doi:10.48550/arXiv.2410.09665>.
Useful links