gpseq: Using the generalized Poisson distribution to model
sequence read counts from high throughput sequencing
experiments
Some functions for modeling sequence read counts as a
generalized poisson model and to use this model for detecting
differentially expressed genes in different conditions and
differentially spliced exons.

Maximum Likelihood Estimation of the Generalized Persistence
Value-Added Model
Maximum likelihood estimators are obtained via an EM
algorithm

Maximum Likelihood Estimation of the Multiple Membership Mixed
Models Used in Value-Added Modeling

Maximum Likelihood Estimation of Multiple Membership Mixed
Models Used in Value-Added Modeling
Maximum likelihood estimators are obtained via an EM algorithm

Maximum likelihood estimators are obtained via an EM algorithm.
numDeriv, Rcpp (>= 0.11.2), graphics, grDevices, methods,
stats, utils

An EM algorithm, Karl et al. (2013) <doi:10.1016/j.csda.2012.10.004>, is used to estimate the generalized, variable, and complete persistence models, Mariano et al. (2010) <doi:10.3102/1076998609346967>. These are multiple-membership linear mixed models with teachers modeled as "G-side" effects and students modeled with either "G-side" or "R-side" effects.

Matthias Katzfuss, Marcin Jurek, Daniel Zilber, Wenlong Gong, Joe Guinness, Jingjie Zhang
Fast scalable Gaussian process approximations, particularly well suited to spatial (aerial, remote-sensed) and environmental data, described in more detail in Katzfuss and Guinness (2017) <arXiv:1708.06302>. Package also contains a fast implementation of the incomplete Cholesky decomposition (IC0), based on Schaefer et al. (2019) <arXiv:1706.02205> and MaxMin ordering proposed in Guinness (2018) <arXiv:1609.05372>.
Rcpp (>= 0.12.16), methods, stats, sparseinv, fields,
Matrix(>= 1.2.14), parallel, GpGp, FNN

c(
person("Matthias", "Katzfuss", role=c("aut"), email="katzfuss@gmail.com"),
person("Marcin", "Jurek", role=c("aut", "cre"), email="marcinjurek1988@gmail.com"),
person("Daniel", "Zilber", role="aut"),
person("Wenlong", "Gong", role="aut"),
person("Joe", "Guinness", role="ctb"),
person("Jingjie", "Zhang", role="ctb"),
person("Florian", "Schaefer", role="ctb"))
Matthias Katzfuss [aut],
Marcin Jurek [aut, cre],
Daniel Zilber [aut],
Wenlong Gong [aut],
Joe Guinness [ctb],
Jingjie Zhang [ctb],
Florian Schaefer [ctb]