Query Search Interfaces (searcher)
Provides a search interface to look up terms on ‘Google’, ‘Bing’, ‘DuckDuckGo’, ‘StackOverflow’, ‘GitHub’, and ‘BitBucket’. Upon searching, a browser window will open with the aforementioned search results.

Composite Likelihood Estimation for Spatial Data (clespr)
Composite likelihood approach is implemented to estimating statistical models for spatial ordinal and proportional data based on Feng et al. (2014) <doi:10.1002/env.2306>. Parameter estimates are identified by maximizing composite log-likelihood functions using the limited memory BFGS optimization algorithm with bounding constraints, while standard errors are obtained by estimating the Godambe information matrix.

Adjusted Prediction Model Performance Estimation (APPEstimation)
Calculating predictive model performance measures adjusted for predictor distributions using density ratio method (Sugiyama et al., (2012, ISBN:9781139035613)). L1 and L2 error for continuous outcome and C-statistics for binomial outcome are computed.

Rcpp’ Bindings for the ‘Corpus Workbench’ (‘CWB’) (RcppCWB)
Rcpp’ Bindings for the C code of the ‘Corpus Workbench’ (‘CWB’), an indexing and query engine to efficiently analyze large corpora (<http://cwb.sourceforge.net> ). ‘RcppCWB’ is licensed under the GNU GPL-3, in line with the GPL-3 license of the ‘CWB’ (<https://…/GPL-3> ). The ‘CWB’ relies on ‘pcre’ (BSD license, see <https://…/licence.txt> ) and ‘GLib’ (LGPL license, see <https://…/lgpl-3.0.en.html> ). See the file LICENSE.note for further information.

An Integrated Regression Model for Normalizing ‘NanoString nCounter’ Data (RCRnorm)
NanoString nCounter’ is a medium-throughput platform that measures gene or microRNA expression levels. Here is a publication that introduces this platform: Malkov (2009) <doi:10.1186/1756-0500-2-80>. Here is the webpage of ‘NanoString nCounter’ where you can find detailed information about this platform <https://…/ncounter-technology>. It has great clinical application, such as diagnosis and prognosis of cancer. Implements integrated system of random-coefficient hierarchical regression model to normalize data from ‘NanoString nCounter’ platform so that noise from various sources can be removed.