Recursive Partitioning of Network Models (networktree)Methods to create tree models with correlation-based network models (multivariate normal distributions).

Multiple Change-Point Detection for High-Dimensional GARCH Processes (segMGarch)Implements a segmentation algorithm for multiple change-point detection in high-dimensional GARCH processes. It simultaneously segments GARCH processes …

Two men start running at each other with loaded pistols, ready to shoot!

Forward and Reverse Containment Logic – Introduction to Relational Data Logistics

RcppDynProg is a new Rcpp based R package that implements simple, but powerful, table-based dynamic programming. This package can be used to optimally solve the minimum cost partition into intervals problem (described below) and is useful in building piecewise estimates of functions (shown in this note).

Pulls Information from Prov.Json Files (provParseR)R functions to access provenance information collected by ‘rdt’ or ‘rdtLite’. The information is stored inside a ‘ProvInfo’ object and can be accessed …

RcppDynProg is a new Rcpp based R package that implements simple, but powerful, table-based dynamic programming. This package can be used to optimally solve the minimum cost partition into intervals problem (described below) and is useful in building piecewise estimates of functions (shown in this note).

Part 1 was here.

Automatic Summarization of Natural Language

Earlier this month, Forbes cited the key to getting value from data science as teamwork. That means in the coming year, with an increased focus on collaboration, lines of business will likely have more opportunities than ever to work together with data scientists. But this relationship will only work if business people help data teams help them by asking the right questions.