Generator of Experiments (gexp)
Generates experiments – simulating structured or experimental data as: completely randomized design, randomized block design, latin square design, fact …

Joint Change Point Detection (jcp)
Procedures for joint detection of changes in both expectation and variance in univariate sequences. Performs a statistical test of the null hypothesis …

Statistically Validated Networks (SVN)
Determines networks of significant synchronization between the discrete states of nodes; see Tumminello et al <doi:10.1371/journal.pone.0017994>.

Chaotic Time Series Analysis (DChaos)
Provides several algorithms for the purpose of detecting chaotic signals inside univariate time series. We focus on methods derived from chaos theory w …

Open Trade Statistics API Wrapper and Utility Program (tradestatistics)
Access Open Trade Statistics API from R to download international trade data.

Modelling Adoption Process in Marketing (adoption)
The classical Bass (1969) <doi:10.1287/mnsc.15.5.215> model and the agent based models, such as that by Goldenberg, Libai and Muller (2010) <d …

Regular Expressions for Prices and Currencies (priceR)
Functions to aid in the analysis of price and currency data by expediting data preprocessing. This includes extraction of relevant data (e.g. from text …

Topologically Correct Isosurface Extraction (tcie)
Isosurfaces extraction algorithms are a powerful tool in the interpretation of volumetric data. The isosurfaces play an important role in several scien …

Uniformly Most Powerful Invariant Tests of Equivalence (equivUMP)
Implementation of uniformly most powerful invariant equivalence tests for one- and two-sample problems (paired and unpaired) as described in Wellek (20 …

Calculate Textures from Grey-Level Co-Occurrence Matrices (GLCMs) (glcm)
Enables calculation of image textures (Haralick 1973) <doi:10.1109/TSMC.1973.4309314> from grey-level co-occurrence matrices (GLCMs). Supports pr …

Hierarchical Ordered Probit Models with Application to Reporting Heterogeneity (hopit)
Self-reported health, happiness, attitudes, and other statuses or perceptions are often the subject of biases that may come from different sources. For …

Spatial Regression Analysis (spatialreg)
A collection of all the estimation functions for spatial cross-sectional models (on lattice/areal data using spatial weights matrices) contained up to …

Discretization and Grouping for Logistic Regression (glmdisc)
A Stochastic-Expectation-Maximization (SEM) algorithm (Celeux et al. (1995) <https:// …

LIME-Based Explanations with Interpretable Inputs Based on Ceteris Paribus Profiles (localModel)
Local explanations of machine learning models describe, how features contributed to a single prediction. This package implements an explanation method …

Multiple Fill and Color Scales in ‘ggplot2’ (ggnewscale)
Use multiple fill and color scales in ‘ggplot2’.

Plots for Circular Data (cplots)
Provides functions to produce some circular plots for circular data, in a height- or area-proportional manner. They include barplots, smooth density pl …

Stochastic Precipitation Downscaling with the RainFARM Method (rainfarmr)
An implementation of the RainFARM (Rainfall Filtered Autoregressive Model) stochastic precipitation downscaling method (Rebora et al. (2006) <doi:10 …

Estimation of the Proportion of Treatment Effect Explained by Surrogate Outcome Information (SurrogateOutcome)
Provides functions to estimate the proportion of treatment effect on a censored primary outcome that is explained by the treatment effect on a censored …

Multivariate Gaussian Graphical Model Analysis (mvgraphnorm)
Generate constrained covariance matrix for a given graph to generate samples from a Gaussian graphical model using different algorithms for the analysi …

Fit Continuous-Time State-Space Models for Filtering Argos Satellite (and Other) Telemetry Data (foieGras)
Fits continuous-time random walk and correlated random walk state-space models to filter Argos satellite location data. Template Model Builder (‘TMB’) …

Conditional Sensitivity Analysis for Matched Observational Studies (dstat)
A d-statistic tests the null hypothesis of no treatment effect in a matched, nonrandomized study of the effects caused by treatments. A d-statistic foc …

Inference in Graphical Gaussian Models with Edge and Vertex Symmetries (gRc)
Estimation, model selection and other aspects of statistical inference in Graphical Gaussian models with edge and vertex symmetries (Graphical Gaussian …

EM Algorithm for Multivariate Skew-Normal Distribution with Overparametrization (snem)
Efficient estimation of multivariate skew-normal distribution in closed form.

Interpolation From C (cinterpolate)
Simple interpolation methods designed to be used from C code. Supports constant, linear and spline interpolation. An R wrapper is included but this pac …

Categorical Randomized Block Data Analysis (crblocks)
Implements a statistical test for comparing bar plots or histograms of categorical data derived from a randomized block repeated measures layout.

Fitting Sample Selection Models for Discrete Response Variables (DiSSMod)
Tools to fit sample selection models in case of discrete response variables, through a parametric formulation which represents a natural extension of t …

Implementation of Flag Aggregation (flagr)
Three methods are implemented in R to facilitate the aggregations of flags in official statistics. From the underlying flags the highest in the hierarc …

Focused Information Criteria for Model Comparison (fic)
Compares how well different models estimate a quantity of interest (the ‘focus’) so that different models may be preferred for different purposes. Comp …

Bivariate Zero-Inflated Negative Binomial Model Estimator (bzinb)
Provides a maximum likelihood estimation of Bivariate Zero-Inflated Negative Binomial (BZINB) model or the nested model parameters. Also estimates the …

Effects and Importances of Model Ingredients (ingredients)
Collection of tools for assessment of feature importance and feature effects. Key functions are: feature_importance() for assessment of global level fe …

Complete Stochastic Modelling Solution (CoSMoS)
A single framework, unifying, extending, and improving a general-purpose modelling strategy, based on the assumption that any process can emerge by tra …

Ecological Regression with Partial Identification (eiPartialID)
Estimate district-level bounds for 2×2 ecological inference based on the approach described in the forthcoming article Jiang et al. (2019), ‘Ecological …

Clustering with Matrix Gaussian and Matrix Transformation Mixture Models (MatTransMix)
Provides matrix Gaussian mixture models, matrix transformation mixture models and their model-based clustering results. The parsimonious models of the …

Murty’s Algorithm for k-Best Assignments (muRty)
Calculates k-best solutions and costs for an assignment problem following the method outlined in Murty (1968) <doi:10.1287/opre.16.3.682>.

Multidimensional Penalized Splines for Survival and Net Survival Models (survPen)
Fits hazard and excess hazard models with multidimensional penalized splines allowing for time-dependent effects, non-linear effects and interactions b …

Adaptive Optimal Two-Stage Designs in R (adoptr)
Optimize one or two-arm, two-stage designs for clinical trials with respect to several pre-implemented objective criteria or implement custom objective …

Efficient Determination of Sample Size in Balanced Design of Experiments (BDEsize)
Provides the sample size in balanced design of experiments and three graphs ; detectable standardized effect size vs power, sample size vs detectable s …

Coordinate-Wise Mediation Filter (cmfilter)
Functions to discover, plot, and select multiple mediators from an x -> M -> y linear system. This exploratory mediation analysis is performed us …

Moderated Nonlinear Factor Analysis (mnlfa)
Conducts moderated nonlinear factor analysis (e.g., Curran et al., 2014, <doi:10.1080/00273171.2014.889594>). Regularization methods are implemen …

K* Nearest Neighbors Algorithm (ksNN)
Prediction with k* nearest neighbor algorithm based on a publication by Anava and Levy (2016) <arXiv:1701.07266>.

Optimal Project Prioritization (oppr)
A decision support tool for prioritizing conservation projects. Prioritizations can be developed by maximizing expected feature richness, expected phyl …

Terribly-Simple Data Base for Time Series (tsdb)
A terribly-simple data base for numeric time series, written purely in R, so no external database-software is needed. Series are stored in plain-text f …

Chat with Watson’s Assistant API (IMWatson)
Chat with a chatbot created with the ‘IBM Watson Assistant’ <https://…/&gt …

The L-Logistic Bayesian Regression (llbayesireg)
R functions and data sets for the work Paz, R.F., Balakrishnan, N and Bazán, J.L. (2018). L-logistic regression models: Prior sensitivity analysis, rob …

Homogenous Segmentation for Spatial Lines Data (HS)
Methods of homogenous segmentation for spatial lines data, such as pavement performance indicators and traffic volumes. A moving coefficient of variati …

Create and (Interactively) Modify Nested Hierarchies (sdcHierarchies)
Provides functionality to generate, (interactively) modify (by adding, removing and renaming nodes) and convert nested hierarchies between different fo …

Bias Reduction in the Skew-Probit Model for a Binary Response (SPreg)
Provides a function for the estimation of parameters in a binary regression with the skew-probit link function. Naive MLE, Jeffrey type of prior and Ca …

Simplified Language for Plots and Charts (chartql)
Provides a very simple syntax for the user to generate custom plot(s) without having to remember complicated ‘ggplot2’ syntax. The ‘chartql’ package us …

Unine Light Stemmer (unine)
Implementation of ‘light’ stemmers for French, German, Italian, Spanish, Portuguese, Finnish, Swedish. They are based on the same work as the ‘light’ s …

Convert R Models to PMML (r2pmml)
R wrapper for the JPMML-R library <https://…/jpmml-r>, which converts R model …

Robust Kernel Unsupervised Methods (RKUM)
Robust kernel center matrix, robust kernel cross-covariance operator for kernel unsupervised methods, kernel canonical correlation analysis, influence …

For Implementation of Feed Reduction, Learning Examples and Code Management (LilRhino)
This is for code management functions, a Monty Hall simulator, and for implementing my own variable reduction technique called Feed Reduction <<a hr …

Dynamic Modeling in R (dynr)
Intensive longitudinal data have become increasingly prevalent in various scientific disciplines. Many such data sets are noisy, multivariate, and mult …

Shadow-Test Approach to Computerized Adaptive Testing (RSCAT)
As an advanced approach to computerized adaptive testing (CAT), shadow testing (van der Linden(2005) <doi:10.1007/0-387-29054-0>) dynamically ass …

Easily Encrypt and Decrypt Data Frame or Tibble Columns using RSA Public/Private Keys (encryptr)
It is important to ensure that sensitive data is protected. This straightforward package is aimed at the end-user. Strong RSA encryption using a public …

Spatial Seemingly Unrelated Regression Models (spsur)
A collection of functions to test and estimate Seemingly Unrelated Regression (usually called SUR) models, with spatial structure, by maximum likelihoo …

Companion to Tsay (2005) Analysis of Financial Time Series (FinTS)
R companion to Tsay (2005) Analysis of Financial Time Series, second edition (Wiley). Includes data sets, functions and script files required to work s …

Hyperbolic Embedding (hydra)
Calculate an optimal embedding of a set of data points into low-dimensional hyperbolic space. This uses the strain-minimizing hyperbolic embedding of K …

Wavelet ANN Model (WaveletANN)
Fits hybrid Wavelet ANN model for time series forecasting using algorithm by Anjoy and Paul (2017) <DOI: 10.1007/s00521-017-3289-9>.

Adaptive LASSO and Network Regularized Generalized Linear Models (glmaag)
Efficient procedures for adaptive LASSO and network regularized for Gaussian, logistic, and Cox model. Provides network estimation procedure (combinati …