samp2.sigHierarchy: Variabel Testing along the hierarchy

In hit: Hierarchical Inference Testing

Description

ANOVA Testing, Multiplicity Adjustment, Aggregating and Hierarchical Adjustment

Usage

samp2.sigHierarchy(j, x, y, hierarchy, family, test, x.notest, B, allSamp1.ids,
  allActSet.ids, upper.p, max.p.esti, gamma, hl.count, cores)

Arguments

j	Index for cluster (mclapply index).
x	Design matrix, of dimension n x p.
y	Vector of quantitative response variable.
hierarchy	A hierarchy object.
family	Distribution family of y.
test	name of test.
x.notest	Vector of indeces of non tested variabels.
B	Number of sample-splits.
allSamp1.ids	List of subsampels.
allActSet.ids	List of active sets.
upper.p	P value upper huerarchy level of the clusters variables.
max.p.esti	Maximum alpha level. All p-values above this value are set to one. Small max.p.esti values reduce computing time.
gamma	Vector of gamma-values.
hl.count	Hierarchy level counter for parallelism.
cores	Number of cores for parallelising.

hit documentation built on May 2, 2019, 10:15 a.m.