Author: Mark S. Handcock <handcock@stat.ucla.edu>
Description: Likelihood-based inference for skewed count distributions
used in network modeling. "degreenet" is a part of the
"statnet" suite of packages for network analysis.  For a list

"statnet" suite of packages for network analysis.

Description: Likelihood-based inference for skewed count distributions used in network modeling. "degreenet" is a part of the "statnet" suite of packages for network analysis.

Title: Density Estimation from GROuped Summary Statistics
Description: Estimation of a density from grouped (tabulated) summary statistics evaluated in each of the big bins (or classes) partitioning the support of the variable. These statistics include class frequencies and central moments of order one up to four. The log-density is modelled using a linear combination of penalised B-splines. The multinomial log-likelihood involving the frequencies adds up to a roughness penalty based on the differences in the coefficients of neighbouring B-splines and the log of a root-n approximation of the sampling density of the observed vector of central moments in each class. The so-obtained penalized log-likelihood is maximized using the EM algorithm to get an estimate of the spline parameters and, consequently, of the variable density and related quantities such as quantiles, see Lambert, P. (2021) <arXiv:2107.03883> for details.

Title: Detection of Isotope Pattern of a Mass Spectrometric Measurement
Authors@R: c(person("Christian", "Panse", email = "cp@fgcz.ethz.ch",
person("Lucas", "Schmidt", email = "Lucas.Schmidt@gmail.com",
person("Witold E.", "Wolski", role = c("ctb", "aut")))
Author: Christian Panse [cre, aut] (0000-0003-1975-3064),
Suggests: DiagrammeR, lattice, roxygen2, protViz (>= 0.2.45), shiny,
SystemRequirements: Java (>= 8.0), GNU make
Description: Provides a low-level interface for a deisotoper
container implemented in the 'Java' programming language and
means of S3 helper functions for deisotoping,
plotting and debugging isotopes of mass spectrometric data.
We use this package mainly for prototyping, teaching and