Man pages for abichat/zazou
Z-Scores As Ornstein-Uhlenbeck

alcoholDatasets
as_shiftconf'shiftconf' object
as_shiftpunct'shiftpunct' object
bicInformation criteria
calculate_ZScore system
calculate_Z_column_with_best_lambdaCompute a column of the score system
calculate_Z_with_best_lambdaCompute the score system once lambda is chosen
check_selectionCheck if a shiftpunct came from model selection
choose_best_lambdaChoose best lambda by cross-validation
compute_gradient_functionCompute gradient function
compute_objective_functionCompute objective function
confint_colwiseinverseDesparsified lasso based on column-wise inverse matrix
confint_scoresystemDesparsified lasso based on score system
correct_pvaluesCorrect p-values
covariance_noise_matrix_scoresystemCovariance noise matrix
covarianceOU_matrixCovariance matrix
create_clustersCreate clusters
create_listopt_pmsCreate a list from
df_confint_pvalueConfidence interval and p-values for estimates
estimate_confintEstimate confidence interval from scaled lasso.
estimate_shiftsEstimate shifts
estimate_tstarEstimate threshold of rejection for t-scores
extract_modelsExtract models computed during selection
extract_significant_leavesExtract significant leafs
extract_significant_leaves.shiftconfExtract significant leafs
extract_significant_leaves.shiftpunctExtract significant leafs
fast_solve_colwiseinverse_colCompute a column for the column-wise inverse.
find_feasibleFind a feasible solution for a set of linear constraints
fitchFitch parsimony score
force_ultrametricForce a tree to be ultrametric
generate_gammaGamma
get_lambda_sequenceVector of lambdas to test
incidence_matrixIncidence matrix
inverse_sqrtInverse of the square root of a matrix
lambda_gridGenerate a logarithmic lambda grid
noise_factor_scoresystemNoise factor
norm0Norm 0
open_docOpen documentation site of the package
p2zTransform p-values to z-scores
plot_shiftsPlot shift amplitude and location on the tree
pull_pvaluesPull p-values
pull_pvalues.shiftconfPull p-values
pull_pvalues.shiftpunctPull p-values
rescale_score_systemRescale the score system
rmse_glmnetCompute prediction errors
simu_zscoresSimulation of z-scores on branches
smooth_pvaluesHierarchical correction of p-values
solve_colwiseinverseSolve column-wise inverse
solve_scaled_lassoScaled lasso
solve_univariateSolve unidirectional constrained problem
test_wilcoxonVectorized tests
tree_heightTree height
update_beta_scoresystemUpdate beta
update_confintUpdate confidence interval
update_sigmaUpdate sigma in the scaled lasso algorithm
zazou-packagezazou: Z-Scores As Ornstein-Uhlenbeck
abichat/zazou documentation built on Sept. 8, 2021, 6:53 a.m.