Baseline identification and peak decomposition for x-ray diffractograms
P.L. Davies, U. Gather, M. Meise, D.Mergel, T. Mildenberger. Additional Code by T. Bernholt and T. Hofmeister
Residual-based baseline identification and peak decomposition for x-ray diffractograms as introduced in Davies/Gather/Mergel/Meise/Mildenberger (2008).

Baseline identification and peak decomposition for x-ray
diffractograms
P.L. Davies, U. Gather, M. Meise, D.Mergel, T. Mildenberger.
Additional Code by T. Bernholt and T. Hofmeister
Residual-based baseline identification and peak
decomposition for x-ray diffractograms as introduced in
Davies/Gather/Mergel/Meise/Mildenberger (2008).

Baseline Identification and Peak Decomposition for x-Ray
Diffractograms
Residual-based baseline identification and peak decomposition for x-ray diffractograms as introduced in Davies/Gather/Mergel/Meise/Mildenberger (2008) <doi:10.1214/08-AOAS181>.

Projects for Text Version Comparison and Analytics in R
c(
person(
"Peter", "Meissner",
email = "retep.meissner@gmail.com",
role = c("aut", "cre")
),
person(
"Ulrich", "Sieberer",
role = "cph",
email = "ulrich.sieberer@uni-bamberg.de",
comment = ""
),
person(
"University of Konstanz",
role = "cph",
email = "willkommen@uni-konstanz.de",
comment = ""
)
)
Provides data structures and methods for measuring, coding,
and analysing text within text corpora. The package allows for manual as
well computer aided coding on character, token and text pair level.
Peter Meissner [aut, cre],
Ulrich Sieberer [cph],
University of Konstanz [cph]

Interactive visualizations and tabulations for diffrprojects.
All presentations are based on the htmlwidgets framework allowing for
interactivity via HTML and Javascript, Rstudio viewer integration,
RMarkdown integration, as well as Shiny compatibility.

c(
person(given = "Giulia",
family = "Bertagnolli",
role = c("aut", "cre"),
email = "giulia.bertagnolli@gmail.com",
comment = c(ORCID = "0000-0001-8637-0632")),
person(given = "Manlio",
family = "De Domenico",
role = "aut",
email = "manlio.dedomenico@gmail.com",
comment = c(ORCID = "0000-0001-5158-8594"))
)
Enables the evaluation of diffusion distances for complex single-layer networks.
Given a network one can define different types of Laplacian (or transition)
matrices corresponding to different continuous-time random walks dynamics on the network.
This package enables the evaluation of Laplacians, stochastic matrices, and the
corresponding diffusion distance matrices. The metric structure induced by the network-driven
process is richer and more robust than the one given by shortest-paths and allows to study
the geometry induced by different types of diffusion-like communication mechanisms taking
place on complex networks.
For more details see: De Domenico, M. (2017) <doi:10.1103/physrevlett.118.168301> and
Bertagnolli, G. and De Domenico, M. (2021) <doi:10.1103/PhysRevE.103.042301>.
expm, ggdendro, ggplot2, grid, igraph, Matrix, stats, Rcpp (>=
1.0.7), reshape2, rlang, viridis
knitr, cowplot, parallelDist, strex, tidyr, rmarkdown
Giulia Bertagnolli [aut, cre] (<https://orcid.org/0000-0001-8637-0632>),
Manlio De Domenico [aut] (<https://orcid.org/0000-0001-5158-8594>)