July 2022: “Top 40” New CRAN Packages
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Ninety-four new packages stuck to CRAN in July. Here are my “Top 40” selections in thirteen categories: Climate Modeling, Computational Methods, Data, Ecology, Genomics, Machine Learning, Mathematics, Medicine, Networks, Proteomics, Statistics, Utilities, and Visualization.
Climate Modeling
climetrics v1.0-5: Provides a framework that facilitates the spatio-temporal analysis of climate dynamics through exploring and measuring different dimensions of climate change in space and time. See the vignette.
HurreconR v1.0: Implements the HURRECON model which estimates wind speed, wind direction, enhanced Fujita scale wind damage, and duration of EF0 to EF5 winds as a function of hurricane location and maximum sustained wind speed. See Boose et al. (2001) and Boose et al. (2004) for background, and the vignette for an overview.
TrenchR v0.1.0: Provides tools for translating environmental change into organism response. The biophysical modeling tools include both general models for heat flows and specific models to predict body temperatures for a variety of ectothermic taxa. See Gates (1980) for background. There are vignettes on Allometries and conversions, Estimating microclimates, and Estimating body temperatures.
Computational Methods
elastes v0.1.6: Provides functions to compute functional elastic shape means over sets of open planar curves using a novel approach where planar curves are treated as complex functions. Also, a full Procrustes mean is estimated from the corresponding smoothed Hermitian covariance surface. See Steyer et al. (2022) and Stöcker et. al. (2022) for background and the vignette for examples.
ino v0.1.0: Provides a comprehensive toolbox for comparing different initialization strategies when performing numerical optimization. There is an Introduction and a vignette with an HMM example.
Data
giedata v0.1.0: Provides functions to access the API for GIE, Europe’s Gas Infrastructure database. See README to get started.
Ecology
rgrass v0.3-3: Implements a new interface to the GRASS geographical information system that supports both starting R from within the GRASS environment, or running a free-standing R session in a temporary GRASS location. There is an Introduction and a vignette on object formats.
riverconn v0.3.22: Provides functions to calculate indices for river network connectivity. See Jumani et al. (2021) for a review of the incdices and Baldan et al. (2022) for a list of package capabilities and architecture. Have a look at the vignette for examples.
Genomics
dcifer v1.1.1: Implements Dcifer (Distance for complex infections: fast estimation of relatedness), an identity by descent based method to calculate genetic relatedness between polyclonal infections from biallelic and multiallelic data. See Gerlovina et al. (2022) for the details, and the vignette for an example.
qPCRtools v0.1.1: Provides methods to calculate the amplification efficiency of genes, a crucial step in the qPCR process. See the vignette.
scAnnotate v0.0.4: Implements a data-driven cell type annotation tool for single-cell RNA sequencing data. See Ji et al. (2022) for details and the vignette for an introduction.
Machine Learning
cito v1.0.0: Provides functions for building and training custom neural networks using torch
. See the vignette.
etree v0.1.0: Provides functions to implement Energy Trees, statistical models that perform classification and regression with structured and mixed-type data. See Giubilei et al. (2022) for a description of Energy Trees and the vignettes eforest and etree for examples.
LDABiplots v0.1.2: Provides tools to extract, explore, analyze, and visualize news published on the web by digital newspapers using Latent Dirichlet and machine learning algorithms. See Ble et al. (2003) and Gabriel (1971) for background. There are English and Spanish versions of the vignette.
mildsvm v0.4.0: Implements a support vector machine classifier for weakly supervised, multiple instance data. See Kent and Yu (2022) and Muandet et al. (2012) for the theory and README for an example.
nestedcv v0.2.3: Provides functions to perform nested cross-validation as described in Stone (1977) for lasso and elastic-net regularized linear models for glmnet
. See the vignette.
Mathematics
delaunay v1.1.0: Provides functions to construct and visualize 2D and 3D Delaunay triangulations. See README for some visual examples.
Medicine
activeAnalyzer v1.0.4: Provides a tool to analyse Actigraphy accelerometer data using PROactive Physical Activity in COPD (chronic obstructive pulmonary disease) instruments. See the vignette for examples.
pedbp v1.0.0: Provides data and utilities for estimating pediatric blood pressure percentiles by sex, age, and height. See Lo et al. (2013) and Martin et al. (2022) for background, and the vignette for an overview.
tipmap v 0.1.7: Implements tipping point analysis for clinical trials using Bayesian dynamic borrowing via robust meta-analytic predictive priors as described in Best et al. (2021).
Networks
ergm.multi v0.1.0: Provides a set of extensions for the ergm
package to fit multilayer, multiplex, and multirelational networks as well as samples of multiple networks. See Krivitsky et al. (2020) and Krivitsky et, al. (2022) for the details and the vignette for an extended example.
Families v1.0.1: Provides tools to study kinship networks, grand parenthood, and double burden (presence of children and oldest old parents) in virtual population produced by VirtualPop
. See the vignette for examples.
Proteomics
promor v0.1.0: Implements a comprehensive set of tools for label-free proteomics data analysis and machine learning modeling including differential expression analysis, predictive modeling and performance assessment. Data from MaxQuant may be used. See the vignette for an introduction.
Statistics
GPCERF v0.1.0: Provides a non-parametric Bayesian framework based on Gaussian process priors for estimating causal effects of a continuous exposure and detecting change points in the causal exposure response curves using observational data. See Ren et al. (2021). Have a look at the Introduction and the vignettes Full Gaussian Process and Nearest-neighbor Gaussian Process.
lnmCluster v0.3.1: Extends the logistic normal multinomial (LNM) clustering model proposed by Fang and Subedi (2020) to provide LNM clustering for compositional data. Details of model assumptions and interpretation can be found in the papers Tu & Subedi (2021) and Tu & Subedi (2022). See the vignette for an example.
tlars v0.0.1: Provides functions to compute the solution path of the Terminating-LARS (T-LARS) algorithm. See Machkour et al. 2022, Efron et al. (2004) and Tibshirani (1996) for the theory, and the vignette for examples.
Utilities
codebookr v0.1.5: Provides functions to create code books (i.e. data dictionaries) directly from a data frame. See README for examples.
datadictionary v0.1.0: Provides tools to creates a data dictionary from any dataset in an R environment. It includes functions to add variable labels and write to Excel.
dtrackr v0.2.4: Provides tools to track and document dplyr
data pipelines. As you filter, mutate, and join your way through a data set, functions seamlessly track data flow and generate publication ready documentation of the data pipeline. See the vignettes Consort statment example, Configuration example, Basic Operation, and Joining data pipelines.
howler v0.2.0: Enables audio interactivity within shiny
applications using howler.js
. See the vignette.
ixplorer v0.2.2: Provides tools to create and view tickets in gitea, a self-hosted git
service, using an RStudio addin. It includes helper functions to publish documentation and use git
. There are several vignettes including ixplorer basics and Credential management.
nextGenShinyApps v1.5: Provides responsive tools for designing and developing Shiny
dashboards and applications. The scripts and style sheets are based on jQuery
and Bootstrap
. See the vignette for examples.
nplyr v0.1.0: Provides functions for manipulating nested data frames in a list-column using dplyr
without first having to unnest()
them. See the vignette.
renderthis v0.1.0: Provides tools to render slides to different formats, including html
, pdf
, png
, gif
, pptx
, and mp4
, as well as tool to make a png
file of the first slide of a presentation that is re-sized for sharing on social media. There is an Overview and a vignette on basic usage.
video video: 0.1.0: Enables video interactivity within shiny
applications using video.js
. See the vignette.
Visualization
ensModelVis v0.1.0: Provides a function to display model fits for multiple models and their ensembles. There are vignettes for Classification and Regression.
ggpackets v0.2.0: Provides tools to create groups of ggplot2
layers that can be easily migrated from one plot to another, reducing redundant code and improving the ability to format many plots that draw from the same source. See the Getting Started Guide and the vignettes Composing Templates & Functions and Misc Examples.
ggseqplot v0.7.2: Provides wrappers to render TraMinR
sequence plots in ggplot2
. See the vignette.
RcppColors v0.1.1: Provides C++
header files to deal with color conversion from color spaces to hexadecimal with Rcpp
, and exports some color mapping functions to R. Look here for examples.
xadmix 1.0.0: Provides functions that provide a quick way of subsetting genomic admixture data and generating customizable stacked barplots. See the vignette.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.