This package contains functions and wrappers for using the Multiple Aggregation Prediction Algorithm (MAPA) for time series forecasting. MAPA models and forecasts time series at multiple temporal aggregation levels, thus strengthening and attenuating the various time series components for better holistic estimation of its structure.

forecast (>= 5.3), parallel, RColorBrewer, smooth (>= 1.4.7)

c(person("Nikolaos", "Kourentzes", email = "nikolaos@kourentzes.com",
role = c("aut", "cre")),
person("Fotios", "Petropoulos", role = c("aut")))
Functions and wrappers for using the Multiple Aggregation Prediction Algorithm (MAPA) for time series forecasting. MAPA models and forecasts time series at multiple temporal aggregation levels, thus strengthening and attenuating the various time series components for better holistic estimation of its structure. For details see Kourentzes et al. (2014) <doi:10.1016/j.ijforecast.2013.09.006>.
Nikolaos Kourentzes [aut, cre],
Fotios Petropoulos [aut]

c(person(given="Michael",family="Turchin",email = "michael_turchin@brown.edu",
role=c("aut","cre"), comment=c(ORCID="0000-0003-3569-1529")),
person(given="Gregory",family="Darnell",email="gbd343@gmail.com",
role=c("aut","ctb"), comment=c(ORCID="0000-0003-0425-940X")),
person(given="Lorin",family="Crawford",email = "lcrawford@brown.edu",
role=c("aut","ctb"), comment=c(ORCID="0000-0003-0178-8242")),
person(given="Sohini",family="Ramachandran",email="sramachandran@brown.edu",
role="aut", comment=c(ORCID="0000-0002-9588-7964")),
person(given="Peter",family="Carbonetto",email="peter.carbonetto@gmail.com",
role="ctb", comment=c(ORCID="0000-0003-1144-6780")))
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, and 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.
utils, stats, doParallel, Rcpp (>= 1.0.5), CompQuadForm
Michael Turchin [aut, cre] (<https://orcid.org/0000-0003-3569-1529>),
Gregory Darnell [aut, ctb] (<https://orcid.org/0000-0003-0425-940X>),
Lorin Crawford [aut, ctb] (<https://orcid.org/0000-0003-0178-8242>),
Sohini Ramachandran [aut] (<https://orcid.org/0000-0002-9588-7964>),
Peter Carbonetto [ctb] (<https://orcid.org/0000-0003-1144-6780>)