Fit Sparse Linear Regression Models via Nonconvex Optimization (sparsenet)
Efficient procedure for fitting regularization paths between L1 and L0, using the MC+ penalty of Zhang, C.H. (2010)<doi:10.1214/09-AOS729>. Imple …

Spatio-Temporal Estimation and Prediction for Censored/Missing Responses (StempCens)
It estimates the parameters of a censored or missing data in spatio-temporal models using the SAEM algorithm (Delyon et al., 1999 <doi:10.1214/aos/1 …

Parallel Use of Statistical Packages in Teaching (rosetta)
When teaching statistics, it can often be desirable to uncouple the content from specific software packages. To easy such efforts, the Rosetta Stats we …

Spatio-Temporal Estimation and Prediction for Censored/Missing Responses (StempCens)
It estimates the parameters of a censored or missing data in spatio-temporal models using the SAEM algorithm (Delyon et al., 1999 <doi:10.1214/aos/1 …

WhiteboxTools’ R Frontend (whitebox)
An R frontend of the ‘WhiteboxTools’ library, which is an advanced geospatial data analysis platform developed by Prof. John Lindsay at the University …

Analysis of Longitudinal Data with Irregular Observation Times (IrregLong)
Analysis of longitudinal data for which the times of observation are random variables that are potentially associated with the outcome process. The pac …

Construction of Geostatistical Sampling Designs (geosample)
Functions for constructing sampling designs, including spatially random, inhibitory (simple or with close pairs), both discrete and continuous, and ada …

Graph-Constrained Robust Covariance Estimation (robFitConGraph)
Contains a single function named robFitConGraph() which includes two algorithms for robust estimation of scatter matrices subject to zero-constraints i …

Regression Analysis and Forecasting Using Textual Data from a Time-Varying Dictionary (TextForecast)
Provides functionalities based on the paper ‘Time Varying Dictionary and the Predictive Power of FED Minutes’ (Lima, 2018) <doi:10.2139/ssrn.3312483 …

Smart Adaptive Recommendations (SAR)
Smart Adaptive Recommendations’ (SAR) is the name of a fast, scalable, adaptive algorithm for personalized recommendations based on user transactions a …

Create, Read, Write, and Work with ‘iCalander’ Files, Calendars and Scheduling Data (calendar)
Provides function to create, read, write, and work with ‘iCalander’ files (which typically have ‘.ics’ or ‘.ical’ extensions), and the scheduling data, …

FWER and FDR Controlling Procedures for Multiple Correlation Tests (TestCor)
Different multiple testing procedures for correlation tests are implemented. These procedures were shown to theoretically control asymptotically the Fa …

The Unifed Distribution (unifed)
Introduced in Quijano Xacur (2018) <arXiv:1812.00251>. This package contains the density, distribution, quantile and random generation functions …

An Ensemble Method for Interval-Censored Survival Data (ICcforest)
Implements the conditional inference forest approach to modeling interval-censored survival data. It also provides functions to tune the parameters and …

Generate Isolines and Isobands from Regularly Spaced Elevation Grids (isoband)
A fast C++ implementation to generate contour lines (isolines) and contour polygons (isobands) from regularly spaced grids containing elevation data.

Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs (mfx)
Estimates probit, logit, Poisson, negative binomial, and beta regression models, returning their marginal effects, odds ratios, or incidence rate ratio …

Instrumental Variables: Extrapolation by Marginal Treatment Effects (ivmte)
The marginal treatment effect was introduced by Heckman and Vytlacil (2005) <doi:10.1111/j.1468-0262.2005.00594.x> to provide a choice-theoretic …

Interface to ‘TensorFlow IO’ (tfio)
Interface to ‘TensorFlow IO’, datasets and filesystem extensions maintained by ‘TensorFlow SIG-IO’ <<a href="https://github.com/tensorflow/community …

Functional Singular Spectrum Analysis (Rfssa)
Methods and tools for implementing functional singular spectrum analysis for functional time series as described in Haghbin H., Najibi, S.M., Mahmoudva …

Miscellaneous Functions in C++ (hutilscpp)
Provides utility functions that are simply, frequently used, but may require higher performance that what can be obtained from base R. Incidentally pro …

Query and Download ‘Rapid7’ ‘Cybersecurity’ Data Sets (ropendata)
Rapid7′ collects ‘cybersecurity’ data and makes it available via their ‘Open Data’ <

Read SDMX-XML Data (readsdmx)
Read Statistical Data and Metadata Exchange (SDMX) XML data. This the main transmission format used in official statistics. Data can be imported from l …

Outlier Detection (OutlierDetection)
To detect outliers using different methods namely model based outlier detection (Barnett, V. 1978 <<a href="https://www.jstor.org/stable/2347159&gt; …

Heller-Heller-Gorfine Tests of Independence and Equality of Distributions (HHG)
Heller-Heller-Gorfine (‘HHG’) tests are a set of powerful statistical tests of multivariate k-sample homogeneity and independence. For the univariate c …

Analytic Insurance Rating Techniques (insurancerating)
Methods for insurance rating. It provides a data driven strategy for the construction of insurance tariff classes. This strategy is based on the work b …

Versatile Ultra-Fast Spectral Clustering for Single and Multi-View Data (Spectrum)
A versatile ultra-fast spectral clustering method for single or multi-view data. ‘Spectrum’ uses a new type of adaptive density aware kernel that stren …

Independent Multiple-Sample Greedy Equivalence Search Implementation (IMaGES)
Functions for the implementation of Independent Multiple-sample Greedy Equivalence Search (IMaGES), a causal inference algorithm for creating aggregate …

Intuitive Missing Data Imputation Framework (missCompare)
Offers a convenient pipeline to test and compare various missing data imputation algorithms on simulated and real data. The central assumption behind m …

Tools for Microarray Data Analysis (anapuce)
Functions for normalisation, differentially analysis of microarray data and local False Discovery Rate.

Digital PCR Analysis (dpcR)
Analysis, visualisation and simulation of digital polymerase chain reaction (dPCR) (Burdukiewicz et al. (2016) <doi:10.1016/j.bdq.2016.06.004>). …