Request Data From The U.S. Bureau of Labor Statistics API (blsAPI)
Allows users to request data for one or multiple series through the U.S. Bureau of Labor Statistics API. Users provide parameters as specified in http://www.bls.gov/developers/api_signature.htm and the function returns a JSON string.
Generalized Logrank Tests for Interval-censored Failure Time Data (glrt)
Functions to conduct four generalized logrank tests and a score test under a proportional hazards model
Integration of R, Java, and Scala (jvmr)
Cross-platform, self-contained, and bi-directional interface between R and Scala, Java, and other JVM-based languages.
Likelihood-ratio Tests for Two-Sample Comparisons (tsc)
Performs the two-sample comparisons using the following exact test procedures: the exact likelihood-ratio test (LRT) for equality of two normal populations proposed in Zhang et al. (2012); the combined test based on the LRT and Shapiro-Wilk test for normality via the Bonferroni correction technique; the newly proposed density-based empirical likelihood (DBEL) ratio test. To calculate p-values of the DBEL procedures, three procedures are used: (a) the traditional Monte Carlo (MC) method implemented in C++, (b) a new interpolation method based on regression techniques to operate with tabulated critical values of the test statistic; (c) a Bayesian type method that uses the tabulated critical values as the prior information and MC generated DBEL-test-statistic’s values as data.
Empirical Orthogonal Teleconnections in R (remote)
remote’ is short for “R(-based) EMpirical Orthogonal TEleconnections”. It implements a collection of functions to facilitate empirical orthogonal teleconnection analysis. Empirical Orthogonal Teleconnections (EOTs) denote a regression based approach to decompose spatio-temporal fields into a set of independent orthogonal patterns. They are quite similar to Empirical Orthogonal Functions (EOFs) with EOTs producing less abstract results. In contrast to EOFs, which are orthogonal in both space and time, EOT analysis produces patterns that are orthogonal in either space or time.
Boost C++ Header Files (BH)
Boost provides free peer-reviewed portable C++ source libraries. A large part of Boost is provided as C++ template code which is resolved entirely at compile-time without linking. This package aims to provide the most useful subset of Boost libraries for template use among CRAN package. By placing these libraries in this package, we offer a more efficient distribution system for CRAN as replication of this code in the sources of other packages is avoided.