One hundred and forty-five new packages were added to CRAN in February. Here are 47 interesting packages organized into five categories; Biostatistics, Data, Data Science, Statistics and Utilities.
BaTFLED3D v0.1.7: Implements a machine learning algorithm to make predictions and determine interactions in data that varies along three independent modes. It was developed to predict the growth of cell lines when treated with drugs at different doses. The vignette shows an example with simulated data.
BayesianTools v0.1.0: Implements various Metropolis MCMC variants (including adaptive and/or delayed rejection MH), the T-walk, differential evolution MCMCs, DREAM MCMCs, and a sequential Monte Carlo particle filter, along with diagnostic and plot functions. The vignette will get you started.
glmmTMB v0.1.1: Provides functions to fit Generalized Linear Mixed Models using the Template Model Builder (TMB) package. There are vignettes for getting started, Covariance Structures, post-hoc MCMC, simulation, and troubleshooting.
IMIFA v1.1.0: Provides flexible Gibbs sampler functions for fitting Infinite Mixtures of Infinite Factor Analysers and related models, introduced by Murphy et al. in a 2017 paper. The vignette shows examples.
lmvar v1.0.0: Provides functions to run linear regressions in which both the expected value and variance can vary by observation. Vignettes provide an introduction and explain the details of the math.
prophet v0.1: Implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly and weekly seasonality, plus holidays. There is a Quick Start guide.
robustarima v0.2.5: Provides functions for fitting a linear regression model with ARIMA errors, using a filtered tau-estimate.
sppmix v188.8.131.52: Implements classes and methods for modeling spatial point patterns using inhomogeneous Poisson point processes, where the intensity surface is assumed to be analogous to a finite additive mixture of normal components, and the number of components is a finite, fixed or random integer.
Look here for documentation.
drake v2.0.0: Provides a reproducible build system for R that understands the workflow dependency structure, builds out-of-date targets, skips up-to-date targets, and offers two forms of parallel computing. There is a quickstart guide.
odbc v1.0.1: Uses the DBI interface to implement a connection to ODBC compatible databases.
sonify v0.1-0: Contains a function to transform univariate data, sampled at regular or irregular intervals, into a continuous sound with time-varying frequency. The function is intended as a substitute for R’s
plotfunction to simplify data analysis for the visually impaired.