Multiple Change-Point Detection and Segmentation (breakfast)
Performs multiple change-point detection in data sequences, or data sequence segmentation, using computationally efficient multiscale methods. This version only implements the ‘Tail-Greedy Unbalanced Haar’ change-point detection methodology; more methods will be added in future versions. To start with, see the function segment.mean.

Dictionary-Based Sentiment Analysis (SentimentAnalysis)
Performs a sentiment analysis of textual contents in R. This implementation utilizes various existing dictionaries, such as Harvard IV, or finance-specific dictionaries. Furthermore, it can also create customized dictionaries. The latter uses LASSO regularization as a statistical approach to select relevant terms based on an exogenous response variable.

Model Validation using Quantile Spectral Analysis and Parametric Bootstrap (QPBoot)
Provides functionality for model validation by computing a parametric bootstrap and comparing the Quantile Spectral Densities.

Tools for Reading and Writing ISO/OGC Geographic Metadata (geometa)
Provides facilities to handle reading and writing of geographic metadata defined with OGC/ISO 19115 and 19139 (XML) standards.

Optimal Stratification in Stratified Sampling Optimization Algorithm (stratvns)
An Optimization Algorithm Applied to stratification Problem. It is aims to delimit the population strata and defining the allocation of sample,considering the following objective: minimize the sample size given a fixed precision level. Exhaustive enumeration method is applied in small problems, while in problems with greater complexity the algorithm is based on metaheuristic Variable Neighborhood Decomposition Search with Path Relink.