R: Privacy-Preserving Meta-Analysis via Low-Rank Basis Hunting

# Privacy-Preserving Meta-Analysis via Low-Rank Basis Hunting

## Documentation for package ‘MetaHunt’ version 0.1.0

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

## Help Pages

apply_wrapper | Reduce predicted functions to scalars via a user-supplied wrapper
build_grid | Build a shared evaluation grid from a reference dataset
coef.metahunt_weight_model | Extract coefficients from a MetaHunt weight model
conformal_from_fit | Split conformal intervals from a pre-fit MetaHunt pipeline
coverage | Empirical coverage of a conformal prediction-interval object
cross_conformal | Cross-conformal prediction intervals (pooled K-fold scores)
cv_error_curve | Cross-validated prediction-error curve for basis-rank selection
dfspa | Denoised functional Successive Projection Algorithm (d-fSPA)
fit_weight_model | Fit a weight model mapping study-level covariates to simplex weights
f_hat_from_models | Build the 'F_hat' matrix from a list of fitted study-level models
metahunt | Fit the full MetaHunt pipeline
minmax_regret | Minimax-regret aggregator for multisite function-valued estimands
plot.metahunt | Plot recovered basis functions from a MetaHunt fit
plot.metahunt_conformal | Plot a conformal prediction-interval object
predict.metahunt | Predict target functions (or scalar summaries) from a MetaHunt fit
predict.metahunt_weight_model | Predict simplex weights for new study-level covariates
predict_target | Predict the target function for new study-level covariates
print.metahunt_denoising_search | Print method for d-fSPA denoising parameter search results
print.summary.metahunt | Print a 'summary.metahunt' object
project_to_simplex | Project study-level functions onto the simplex spanned by basis functions
reconstruction_error_curve | Reconstruction-error curve for basis-rank selection
select_denoising_params | Choose d-fSPA denoising parameters by cross-validation
split_conformal | Split conformal prediction intervals for target-function predictions
summary.metahunt | Summarise a MetaHunt fit
summary.metahunt_conformal | Summarise a conformal prediction-interval object