Title: Valid Post-Selection Inference for Linear LS Regression
In linear LS regression, calculate for a given design matrix
the multiplier K of coefficient standard errors such that the
confidence intervals [b - K*SE(b), b + K*SE(b)] have a
guaranteed coverage probability for all coefficient estimates
b in any submodels after performing arbitrary model selection.

Authors@R: c(person("Andreas", "Buja", role = "aut"),

Title: PogromcyDanych / DataCrunchers is the Masive Online Open Course
that Brings R and Statistics to the People
Description: The data sets used in the online course ,,PogromcyDanych''. You can process data in many ways. The course Data Crunchers will introduce you to this variety. For this reason we will work on datasets of different size (from several to several hundred thousand rows), with various level of complexity (from two to two thousand columns) and prepared in different formats (text data, quantitative data and qualitative data). All of these data sets were gathered in a single big package called PogromcyDanych to facilitate access to them. It contains all sorts of data sets such as data about offer prices of cars, results of opinion polls, information about changes in stock market indices, data about names given to newborn babies, ski jumping results or information about outcomes of breast cancer patients treatment.
Depends: R (>= 3.0), dplyr, SmarterPoland

Title: DataCrunchers (PogromcyDanych) is the Massive Online Open Course

Title: Classification and clustering of sequencing data based on a
Description: Implements the methods described in the paper, Witten
(2011) Classification and Clustering of Sequencing Data using a
Poisson Model, Annals of Applied Statistics 5(4) 2493-2518.

Title: Classification and Clustering of Sequencing Data Based on a
Description: Implements the methods described in the paper, Witten (2011) Classification and Clustering of Sequencing Data using a Poisson Model, Annals of Applied Statistics 5(4) 2493-2518.

Poisson Model, to appear in Annals of Applied Statistics.