R: Inference on Predicted Data

# Inference on Predicted Data

## Documentation for package ‘ipd’ version 0.4.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

A | Calculation of the matrix A based on single dataset
augment.ipd | Augment data from an ipd fit
calc_lhat_glm | Estimate PPI++ Power Tuning Parameter
chen_logistic | Chen & Chen Logistic
chen_ols | Chen & Chen OLS
chen_poisson | Chen & Chen Poisson
compute_cdf | Empirical CDF of the Data
compute_cdf_diff | Empirical CDF Difference
est_ini | Initial estimation
glance.ipd | Glance at an ipd fit
ipd | Inference on Predicted Data (ipd)
ipd-class | ipd: S4 class for inference on predicted data results
link_grad | Gradient of the link function
link_Hessian | Hessians of the link function
log1pexp | Log1p Exponential
logistic_get_stats | Logistic Regression Gradient and Hessian
mean_psi | Sample expectation of psi
mean_psi_pop | Sample expectation of PSPA psi
ols | Ordinary Least Squares
ols_get_stats | OLS Gradient and Hessian
optim_est | One-step update for obtaining estimator
optim_weights | One-step update for obtaining the weight vector
pdc_logistic | PDC Logistic
pdc_ols | PDC OLS
pdc_poisson | PDC Poisson
postpi_analytic_ols | PostPI OLS (Analytic Correction)
postpi_boot_logistic | PostPI Logistic Regression (Bootstrap Correction)
postpi_boot_ols | PostPI OLS (Bootstrap Correction)
ppi_a_ols | PPI "All" OLS
ppi_logistic | PPI Logistic Regression
ppi_mean | PPI Mean Estimation
ppi_ols | PPI OLS
ppi_plusplus_logistic | PPI++ Logistic Regression
ppi_plusplus_logistic_est | PPI++ Logistic Regression (Point Estimate)
ppi_plusplus_mean | PPI++ Mean Estimation
ppi_plusplus_mean_est | PPI++ Mean Estimation (Point Estimate)
ppi_plusplus_ols | PPI++ OLS
ppi_plusplus_ols_est | PPI++ OLS (Point Estimate)
ppi_plusplus_quantile | PPI++ Quantile Estimation
ppi_plusplus_quantile_est | PPI++ Quantile Estimation (Point Estimate)
ppi_quantile | PPI Quantile Estimation
print.ipd | Print ipd fit
print.summary.ipd | Print summary.ipd
psi | Estimating equation
pspa_logistic | PSPA Logistic Regression
pspa_mean | PSPA Mean Estimation
pspa_ols | PSPA OLS Estimation
pspa_poisson | PSPA Poisson Regression
pspa_quantile | PSPA Quantile Estimation
pspa_y | PSPA M-Estimation for ML-predicted labels
rectified_cdf | Rectified CDF
rectified_p_value | Rectified P-Value
show-method | Show an ipd object
Sigma_cal | Variance-covariance matrix of the estimation equation
simdat | Data generation function for various underlying models
sim_data_y | Simulate the data for testing the functions
summary.ipd | Summarize ipd fit
tidy.ipd | Tidy an ipd fit
wls | Weighted Least Squares
zconfint_generic | Normal Confidence Intervals
zstat_generic | Compute Z-Statistic and P-Value