Package index • mfsusieR

All functions

coef(<mfsusie>): Per-effect coefficient curves on the original X scale
coverage_example: Simulated coverage-QTL example
dnam_example: Simulated methylation QTL example
fitted(<mfsusie>): Fitted response curves on the training X
fsusie(): Single-outcome functional SuSiE
gtex_example: Simulated GTEx-style cis-eQTL example
mf_adjust_for_covariates(): Adjust a functional response for covariate effects
mf_post_smooth(): Post-smooth a fit's per-effect curves and add credible bands
mf_simu_ibss_per_level(): Sample a smooth random function from the IBSS wavelet prior
mf_simu_ibss_vanilla(): Sample a smooth random function from the vanilla IBSS prior
mf_summarize_effects(): Per-(CS, outcome) regions where the credible band excludes zero
mfsusie(): Multi-functional, multi-outcome SuSiE
mfsusie_plot(): Plot an mfsusie() / fsusie() fit
mfsusie_plot_dimensions(): Recommended figure dimensions for mfsusie_plot()
mfsusie_plot_lfsr(): Per-CS local false sign rate bubble grid
mfsusie_plot_lfsr_dimensions(): Recommended figure dimensions for mfsusie_plot_lfsr()
multiomic_example: Simulated multi-outcome QTL example
practical_fits: Fitted mfsusie objects under five preprocessing configurations
predict(<mfsusie>): Predicted response curves for new covariates
print(<mfsusie>): Print method for mfsusie fits
summary(<mfsusie>): Summary method for mfsusie fits
univariate_smash_regression(): Per-position smash regression of a multi-position response