Function reference • susieR

All functions
`FinemappingConvergence`	Simulated Fine-mapping Data with Convergence Problem.
`N2finemapping`	Simulated Fine-mapping Data with Two Effect Variables
`N3finemapping`	Simulated Fine-mapping Data with Three Effect Variables.
`SummaryConsistency`	Simulated Fine-mapping Data with LD matrix From Reference Panel.
`coef(<susie>)`	Extract regression coefficients from susie fit
`compute_ss()`	Compute sufficient statistics for input to `susie_suff_stat`
`compute_suff_stat()`	Compute sufficient statistics for input to `susie_suff_stat`
`estimate_s_rss()`	Estimate s in `susie_rss` Model Using Regularized LD
`get_cs_correlation()`	Get Correlations Between CSs, using Variable with Maximum PIP From Each CS
`kriging_rss()`	Compute Distribution of z-scores of Variant j Given Other z-scores, and Detect Possible Allele Switch Issue
`predict(<susie>)`	Predict outcomes or extract coefficients from susie fit.
`summary(<susie>)` `print(<summary.susie>)`	Summarize Susie Fit.
`susie()` `susie_suff_stat()`	Sum of Single Effects (SuSiE) Regression
`susie_auto()`	Attempt at Automating SuSiE for Hard Problems
`susie_get_objective()` `susie_get_posterior_mean()` `susie_get_posterior_sd()` `susie_get_niter()` `susie_get_prior_variance()` `susie_get_residual_variance()` `susie_get_lfsr()` `susie_get_posterior_samples()` `susie_get_cs()` `susie_get_pip()`	Inferences From Fitted SuSiE Model
`susie_init_coef()`	Initialize a susie object using regression coefficients
`susie_plot_changepoint()`	Plot changepoint data and susie fit using ggplot2
`susie_plot()` `susie_plot_iteration()`	SuSiE Plots.
`susie_rss()`	Sum of Single Effects (SuSiE) Regression using Summary Statistics
`susie_trendfilter()`	Apply susie to trend filtering (especially changepoint problems), a type of non-parametric regression.
`univariate_regression()`	Perform Univariate Linear Regression Separately for Columns of X

Reference

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