Association Tests for Microbial Lineages on a Taxonomic Tree
A variety of association tests for microbiome data analysis including Quasi-Conditional Association Tests (QCAT) described in Tang Z.-Z. et al.(2017) <doi:10.1093/bioinformatics/btw804> and Zero-Inflated Generalized Dirichlet Multinomial (ZIGDM) tests described in Tang Z.-Z. & Chen G. (2017, submitted).

Plots to visualize missing data and datasets that were
produced by Multiple Imputation. The idea behind this package
is to visualize MI objects produced by the R packages mi, mice
or Amelia II to get a better understanding of the imputed data
and to evaluate the MI process.

R(>= 2.10.0), VIM, mi, mice, Amelia, lattice, vcd
Plots to visualize missing data and datasets that were
produced by Multiple Imputation. The idea behind this package
is to visualize MI objects produced by the R packages mi, mice
or Amelia II to provide a better understanding of the imputed
data and to evaluate the MI process.

Genome-Wide Discovery of Pre-miRNAs with few Labeled Examples
Machine learning method specifically designed for
pre-miRNA prediction. It takes advantage of unlabeled sequences to improve
the prediction rates even when there are just a few positive examples, when
the negative examples are unreliable or are not good representatives of
its class. Furthermore, the method can automatically search for negative
examples if the user is unable to provide them. MiRNAss can find a good
boundary to divide the pre-miRNAs from other groups of sequences; it
automatically optimizes the threshold that defines the classes boundaries,
and thus, it is robust to high class imbalance. Each step of the method is
scalable and can handle large volumes of data.
Matrix, stats, Rcpp, CORElearn, RSpectra,

This package collects algorithms/functions developed for
microRNA profiling data analyses.  Analytical platforms include
traditional hybridization microarray, CGH, beads-based
microarray, and qRT-PCR array.

Left-Censored Recurrent Events Survival Models
c(person(given = "David",
family = "Moriña",
role = c("aut", "cre"),
email = "dmorina@ub.edu",
comment = c(ORCID = "0000-0001-5949-7443")),
person(given = "Gilma",
family = "Hernández-Herrera",
role = c("aut"),
email = "gilmah@yahoo.com"),
person(given = "Albert",
family = "Navarro",
role = c("aut"),
email = "albert.navarro@uab.cat"))
Fitting recurrent events survival models for
left-censored data with multiple imputation of the number of previous episodes.
See Hernández-Herrera G, Moriña D, Navarro A. (2020) <arXiv:2007.15031>.
R (>= 3.5.0), COMPoissonReg, matrixStats, survival, stringi
David Moriña [aut, cre] (<https://orcid.org/0000-0001-5949-7443>),
Gilma Hernández-Herrera [aut],
Albert Navarro [aut]