Authors@R: c(person("Toby", "Kenney", email = "tkenney@mathstat.dal.ca", role = c("aut", "cre")),person("Tianshu", "Huang", email = "", role = c("aut")))
Description: For a multivariate dataset with independent Poisson measurement error, calculates principal components of transformed latent Poisson means. T. Kenney, T. Huang, H. Gu (2019) <arXiv:1904.11745>.

Title: Significance analysis of sequencing data based on a Poisson log
Description: This package implements a method for normalization,
testing, and false discovery rate estimation for RNA-sequencing
data. The description of the method is in Li J, Witten DM,
Johnstone I, Tibshirani R (2011). Normalization, testing, and
false discovery rate estimation for RNA-sequencing data.
Submitted. Briefly speaking, we estimate the sequencing depths
of the experiments using a new method based on Poisson
goodness-of-fit statistic, calculate a score statistic on the
basis of a Poisson log-linear model, and then estimate the
false discovery rate using a modified version of permutation

Johnstone I, Tibshirani R (2012). Normalization, testing, and
Biostatistics 13(3): 523-38. We estimate the sequencing depths
of experiments using a new method based on Poisson
plug-in method. A more detailed instruction as well as sample
1.1.1, we changed the way of calculating log foldchange for
two-class data. The FDR estimation part remains unchanged.

version, we changed the way of calculating log foldchange for

false discovery rate estimation for RNA-sequencing data. To
appear, Biostatistics. We estimate the sequencing depths of
experiments using a new method based on Poisson goodness-of-fit
statistic, calculate a score statistic on the basis of a
Poisson log-linear model, and then estimate the false discovery
rate using a modified version of permutation plug-in method. A
more detailed instruction as well as sample data is available

Title: Tools for Managing, Measuring and Visualizing Policy Portfolios
Description: Tools for simplifying the creation and management of data structures
suitable for dealing with policy portfolios, that is, two-dimensional spaces
of policy instruments and policy targets. The package also allows to generate measures of
portfolio characteristics and facilitates their visualization.
Authors@R: person(given = "Xavier", family = "Fernández i Marín", email = "xavier.fim@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9522-8870"))
Imports: ggplot2, vegan, ineq, mgcv, reshape2,
Suggests: testthat, devtools, rmarkdown, knitr, tidyr,
Author: Xavier Fernández i Marín [aut, cre]
Maintainer: Xavier Fernández i Marín <xavier.fim@gmail.com>