A genetic analysis tool and variance component
model for identifying marginal epistasis between pathways
and the rest of the genome. 'MAPITR' uses as input a matrix
of genotypes, a vector of phenotypes, and a list of
pathways. 'MAPITR' then iteratively tests each pathway for
epistasis between any variants within the pathway versus
any variants remaining in the rest of the genome. 'MAPITR'
returns results in the form of p-values for every pathway
indicating whether the null model of there being no
epistatic interactions between a pathway and the rest of
the genome can be rejected.
stats, doParallel, Rcpp (>= 1.0.5), CompQuadForm

MAPLES is a general method for the estimation of age
profiles that uses standard micro-level demographic survey
data. The aim is to estimate smoothed age profiles and relative
risks for time-fixed and time-varying covariates.

Multivariate Autoregressive Modeling for Analysis of Community
Time-Series Data
The MAR1 package provides basic tools for preparing
ecological community time-series data for MAR modeling,
building MAR-1 models via model selection and bootstrapping,
and visualizing and exporting model results. It is intended to
make MAR analysis (sensu Ives et al. (2003) Analysis of
community stability and ecological interactions from
time-series data) a more accessible tool for anyone studying
community dynamics.  The user need not necessarily be familiar
with time-series modeling or command-based statistics programs
such as R.

Multivariate Adaptive Regression Spline (MARS) based Artificial Neural Network (ANN) hybrid model is combined Machine learning hybrid approach which selects important variables using MARS and then fits ANN on the extracted important variables.

Eli Holmes, Eric Ward, and Kellie Wills, NOAA, Seattle, USA
The MARSS package fits constrained and unconstrained
linear multivariate autoregressive state-space (MARSS) models
to multivariate time series data.

The MARSS package fits constrained and unconstrained
linear multivariate autoregressive state-space (MARSS) models
to multivariate time series data.  Type show.doc(MARSS, manual)
at the R command line to open the MARSS User Guide.