Online Principal Component Analysis (onlinePCA)
Online PCA for multivariate and functional data using perturbation, incremental, and stochastic gradient methods.
Time Series Clustering Utilities (TSclust)
This package contains a set of measures of dissimilarity between time series to perform time series clustering. Metrics based on raw data, on generating models and on the forecast behavior are implemented. Some additional utilities related to time series clustering are also provided, such as clustering algorithms and cluster evaluation metrics.
Regular Expression Removal, Extraction, and Replacement Tools (qdapRegex)
A collection of regular expression tools associated with the qdap package that may be useful outside of the context of discourse analysis. Tools include removal/extraction/replacement of abbreviations, dates, dollar amounts, email addresses, hash tags, numbers, percentages, person tags, phone numbers, times, and zip codes.
Tools for the qdap Package (qdapTools)
A collection of tools associated with the qdap package that may be useful outside of the context of text analysis.
Bridging the Gap Between Qualitative Data and Quantitative Analysis (qdap)
qdap automates many of the tasks associated with quantitative discourse analysis of transcripts containing discourse including frequency counts of sentence types, words, sentences, turns of talk, syllables and other assorted analysis tasks. The package provides parsing tools for preparing transcript data. Many functions enable the user to aggregate data by any number of grouping variables, providing analysis and seamless integration with other R packages that undertake higher level analysis and visualization of text. This affords the user a more efficient and targeted analysis. qdap is designed for transcript analysis, however, many functions are applicable to other areas of Text Mining/Natural Language Processing.
Extended Inference for Lasso and Elastic-Net Regularized Cox and Generalized Linear Models (c060)
c060 provides additional functions to perform stability selection, model validation and parameter tuning for glmnet models