Contact: "F. Mortier" <fmortier@cirad.fr> and "G. Cornu"

Title: Supervised Component Generalized Linear Regression
Description: The Fisher Scoring Algorithm is extended so as to combine Partial Least Squares
regression with Generalized Linear Model estimation in the multivariate context.

Description: The Fisher Scoring Algorithm is extended so as to combine Partial
Least Squares regression with Generalized Linear Model estimation in the

An extension of the Fisher Scoring Algorithm to combine PLS regression with GLM
estimation in the multivariate context. Covariates can also be grouped in themes.
Author: Guillaume Cornu [aut, cre] (<https://orcid.org/0000-0002-7523-5176>),

Title: Standardized Climate Indices such as SPI, SRI or SPEI
Author: Lukas Gudmundsson & James H. Stagge
Description: Functions for generating Standardized Climate Indices (SCI).
SCI is a transformation of (smoothed) climate (or environmental)
time series that  removes seasonality and forces the data to
take values of the standard normal distribution. SCI was
originally developed for precipitation. In this case it is
known as the Standardized Precipitation Index (SPI).

Title: Standardized Climate Indices Such as SPI, SRI or SPEI

Title: Single-Cell Integrator and Batch Effect Remover
Authors@R: c(person(given = "Dailin", family = "Gan", role = c("aut", "cre"), email = "dgan@nd.edu", comment = c(ORCID = "0000-0003-0535-1259")), person(given = "Jun", family = "Li", role = "aut"))
Description: Remove batch effects by projecting query batches into the reference batch space.
Author: Dailin Gan [aut, cre] (<https://orcid.org/0000-0003-0535-1259>),

Suggests: knitr, rmarkdown, testthat (>= 3.0.0), cowplot, ggplot2,

Title: A Semi-Supervised Category Identification and Assignment Tool
Description: An automatic cell type detection and assignment algorithm for single cell RNA-Seq and Cytof/FACS data. 'SCINA' is capable of assigning cell type identities to a pool of cells profiled by scRNA-Seq or Cytof/FACS data with prior knowledge of markers, such as genes and protein symbols that are highly or lowly expressed in each category.