In this package, we introduce Object Oriented Data
Analysis (OODA) methods to analyze Human Microbiome taxonomic
trees directly. We provide tools to model, compare, and
visualize populations of taxonomic tree objects. In particular,
using a unimodal probability measure in the set of trees, we
provide procedures to compute the MLE of the central tree and
the LRT statistics for comparing the distributions of two
metagenomic populations. Our procedures have been developed to
support parallel computations for comparing two groups.

In this package, we introduce Object Oriented Data Analysis (OODA) methods to analyze Human Microbiome taxonomic trees directly. We provide tools to model, compare, and visualize populations of taxonomic tree objects.

Statistical Object Oriented Data Analysis of RDP-Based Taxonomic
Trees from Human Microbiome Data
ape, HMP, dirmult, doParallel, foreach, parallel
Tools to model, compare, and visualize populations of taxonomic tree objects.

ape, HMP, dirmult, doParallel, foreach, parallel, stats,
graphics

Flux estimation with static chamber data
Statistical analysis of static chamber concentration data
for trace gas flux estimation

Statistical analysis of static chamber concentration data for trace gas flux estimation

Flux Estimation with Static Chamber Data
Statistical analysis of static chamber concentration data for trace gas flux estimation.

Group Association Test using a Hidden Markov Model
Perform association test between a group of variable and the outcome.

High-Probability Lower Bounds for the Total Variance Distance
An implementation of high-probability lower bounds for the total variance distance
as introduced in Michel & Naef & Meinshausen (2020) <arXiv:2005.06006>. An estimated
lower-bound (with high-probability) on the total variation distance between two probability distributions from which
samples are observed can be obtained with the function HPLB.

A set of annotation maps describing the Human Phenotype Ontology
A set of annotation maps describing the entire Human
Phenotype Ontology assembled using data from HPO
R (>= 2.12.0), methods, AnnotationDbi (>= 1.9.7)