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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