samp2.sigHierarchy: Variabel Testing along the hierarchy

Description Usage Arguments

View source: R/hit.R

Description

ANOVA Testing, Multiplicity Adjustment, Aggregating and Hierarchical Adjustment

Usage

1
2
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 30, 2017, 1:27 a.m.