| alcohol | Datasets | 
| as_shiftconf | 'shiftconf' object | 
| as_shiftpunct | 'shiftpunct' object | 
| bic | Information criteria | 
| calculate_Z | Score system | 
| calculate_Z_column_with_best_lambda | Compute a column of the score system | 
| calculate_Z_with_best_lambda | Compute the score system once lambda is chosen | 
| check_selection | Check if a shiftpunct came from model selection | 
| choose_best_lambda | Choose best lambda by cross-validation | 
| compute_gradient_function | Compute gradient function | 
| compute_objective_function | Compute objective function | 
| confint_colwiseinverse | Desparsified lasso based on column-wise inverse matrix | 
| confint_scoresystem | Desparsified lasso based on score system | 
| correct_pvalues | Correct p-values | 
| covariance_noise_matrix_scoresystem | Covariance noise matrix | 
| covarianceOU_matrix | Covariance matrix | 
| create_clusters | Create clusters | 
| create_listopt_pms | Create a list from | 
| df_confint_pvalue | Confidence interval and p-values for estimates | 
| estimate_confint | Estimate confidence interval from scaled lasso. | 
| estimate_shifts | Estimate shifts | 
| estimate_tstar | Estimate threshold of rejection for t-scores | 
| extract_models | Extract models computed during selection | 
| extract_significant_leaves | Extract significant leafs | 
| extract_significant_leaves.shiftconf | Extract significant leafs | 
| extract_significant_leaves.shiftpunct | Extract significant leafs | 
| fast_solve_colwiseinverse_col | Compute a column for the column-wise inverse. | 
| find_feasible | Find a feasible solution for a set of linear constraints | 
| fitch | Fitch parsimony score | 
| force_ultrametric | Force a tree to be ultrametric | 
| generate_gamma | Gamma | 
| get_lambda_sequence | Vector of lambdas to test | 
| incidence_matrix | Incidence matrix | 
| inverse_sqrt | Inverse of the square root of a matrix | 
| lambda_grid | Generate a logarithmic lambda grid | 
| noise_factor_scoresystem | Noise factor | 
| norm0 | Norm 0 | 
| open_doc | Open documentation site of the package | 
| p2z | Transform p-values to z-scores | 
| plot_shifts | Plot shift amplitude and location on the tree | 
| pull_pvalues | Pull p-values | 
| pull_pvalues.shiftconf | Pull p-values | 
| pull_pvalues.shiftpunct | Pull p-values | 
| rescale_score_system | Rescale the score system | 
| rmse_glmnet | Compute prediction errors | 
| simu_zscores | Simulation of z-scores on branches | 
| smooth_pvalues | Hierarchical correction of p-values | 
| solve_colwiseinverse | Solve column-wise inverse | 
| solve_scaled_lasso | Scaled lasso | 
| solve_univariate | Solve unidirectional constrained problem | 
| test_wilcoxon | Vectorized tests | 
| tree_height | Tree height | 
| update_beta_scoresystem | Update beta | 
| update_confint | Update confidence interval | 
| update_sigma | Update sigma in the scaled lasso algorithm | 
| zazou-package | zazou: Z-Scores As Ornstein-Uhlenbeck | 
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