Datasets and Functions Used in the Book 'Przewodnik po Pakiecie
R'
person("Przemyslaw", "Biecek", role = c("aut", "cre"), email = "przemyslaw.biecek@gmail.com")
Data sets and functions used in the polish book
"Przewodnik po pakiecie R" (The Hitchhiker's Guide to the R).
See more at <http://biecek.pl/R>. Among others you will find here
data about housing prices, cancer patients, running times and many others.

Several Local False Discovery Rate Estimators
Alaa Ali, Kyle Leckett, Marta Padilla, David R. Bickel (contributions from Bradley Efron, Brit B. Turnbull, Balasubramanian Narasimhan from package locfdr).
Suite of R functions for the estimation of local false discovery rate (LFDR) using several methods.

Blondeau Da Silva Stephane [aut, cre] - Da Silva Anne [aut].
Blondeau Da Silva Stephane <stephane.blondeau-da-silva@etu.unilim.fr>
Calculating Pst values to assess differentiation among populations from a set of quantitative traits is the primary purpose of such a package. Pst value is an index that measures the level of phenotypic differentiation among populations (Leinonen et al., 2006). The bootstrap method provides confidence intervals and distribution histograms of Pst. Variations of Pst in function of the parameter c/h^2 are studied as well. Finally, the package proposes different transformations especially to eliminate any variation resulting from allometric growth (calculation of residuals from linear regressions, Reist standardizations or Aitchison transformation).

Blondeau Da Silva Stephane <blondeaudasilva@xlim.fr>
Calculating Pst values to assess differentiation among populations from a set of quantitative traits is the primary purpose of such a package. The bootstrap method provides confidence intervals and distribution histograms of Pst. Variations of Pst in function of the parameter c/h^2 are studied as well. Finally, the package proposes different transformations especially to eliminate any variation resulting from allometric growth (calculation of residuals from linear regressions, Reist standardizations or Aitchison transformation).