Density Estimation via Bayesian Inference Engines
person("Matt P.", "Wand", role = c("aut","cre"),
email = "matt.wand@uts.edu.au",
comment = c(ORCID = "0000-0003-2555-896X"))
Bayesian density estimates for univariate continuous random samples are provided using the Bayesian inference engine paradigm. The engine options are: Hamiltonian Monte Carlo, the no U-turn sampler, semiparametric mean field variational Bayes and slice sampling. The methodology is described in Wand and Yu (2020) <arXiv:2009.06182>.
BH, Rcpp, RcppArmadillo, RcppEigen, RcppParallel,
StanHeaders, rstan

MASS, nlme, Rcpp, methods, rstan, rstantools

Functional Linear Mixed Models for Densely Sampled Data
Estimation of functional linear mixed models for densely sampled data based on functional principal component analysis.
methods, parallel, MASS, Matrix, mvtnorm

Analysing Density Profiles from Resistance Drilling of Trees
c(
person(given = "Luka",
family = "Krajnc",
role = c("aut", "cre"),
email = "luka.krajnc@gozdis.si",
comment = c(ORCID = "0000-0002-3120-559X")),
person(given = "Stasia",
family = "Grinberg",
role = c("ctb")))
Provides various tools for analysing density profiles
obtained by resistance drilling. It can load individual or
multiple files and trim the starting and ending part of each
density profile. Tools are also provided to trim profiles
manually, to remove the trend from measurements using several
methods, to plot the profiles and to detect tree rings
automatically. Written with a focus on forestry use of resistance
drilling in standing trees.
pbapply, mgcv, knitr, rmarkdown, testthat
Luka Krajnc [aut, cre] (<https://orcid.org/0000-0002-3120-559X>),
Stasia Grinberg [ctb]

Clustering by fast search and find of density peaks
An implementation of the clustering algorithm described by Alex
Rodriguez and Alessandro Laio (Science, 2014 vol. 344), along with tools to
inspect and visualize the results.

Clustering by Fast Search and Find of Density Peaks
c(
person("Thomas Lin", "Pedersen", , "thomasp85@gmail.com", c("aut", "cre")),
person("Sean", "Hughes", , , c("aut"))
)
Thomas Lin Pedersen [aut, cre],
Sean Hughes [aut]