ssPermAnalysis: smoothing-splines anova fits for each permutation

In metagenomeSeq: Statistical analysis for sparse high-throughput sequencing

Description

Calculates the fit for each permutation and estimates the area under the null (permutted) model for interesting time intervals of differential abundance.

Usage

ssPermAnalysis(
  data,
  formula,
  permList,
  intTimes,
  timePoints,
  include = c("class", "time:class"),
  ...
)

Arguments

data	Data used in estimation.
formula	Formula for ssanova. Of the form: abundance ~ ... where ... includes any pData slot value.
permList	A list of permutted class memberships
intTimes	Interesting time intervals.
timePoints	Time points to interpolate over.
include	Parameters to include in prediction.
...	Options for ssanova

Value

A matrix of permutted area estimates for time intervals of interest.

See Also

cumNorm fitTimeSeries ssFit ssPerm ssIntervalCandidate

Examples

# Not run

metagenomeSeq documentation built on Nov. 8, 2020, 5:34 p.m.