person("Lilian", "Sanselme", role = "ctb")

Title: Calculation of Reliability and Failure Probability in Civil
Authors@R: c(person("Konstantin", "Nille-Hauf", role = c("aut", "cre"),email = "nille-hauf@hochschule-bc.de"),
person("Tania", "Feiri", role = "aut",email="feiri@hochschule-bc.de"),
Description: Calculate the failure probability of civil engineering problems with Level I up to Level III Methods. Have fun and enjoy. References: Spaethe (1991, ISBN:3-211-82348-4) "Die Sicherheit tragender Baukonstruktionen", AU,BECK (2001) "Estimation of small failure probabilities in high dimensions by subset simulation." <doi:10.1016/S0266-8920(01)00019-4>, Breitung (1989) "Asymptotic approximations for probability integrals." <doi:10.1016/0266-8920(89)90024-6>.
Suggests: testthat, knitr, rmarkdown, evd
Imports: pracma, nloptr, methods, edfun, ggplot2, gridExtra
Author: Konstantin Nille-Hauf [aut, cre],

Authors@R: c(person("Konstantin", "Nille-Hauf", role = c("aut", "cre"),email = "konstantin.nillehauf@googlemail.com"),

Title: FWER and FDR Controlling Procedures for Multiple Correlation
person("Gannaz", "Irène", email = "irene.gannaz@insa-lyon.fr", role = c("aut","cre")),
person("Roux", "Marine", email = "marine.roux@gipsa-lab.fr", role = "aut"))
Different multiple testing procedures for correlation tests are implemented. These procedures were shown to theoretically control asymptotically the Family Wise Error Rate (Roux (2018) <https://tel.archives-ouvertes.fr/tel-01971574v1>) or the False Discovery Rate (Cai & Liu (2016) <doi:10.1080/01621459.2014.999157>). The package gather four test statistics used in correlation testing, four FWER procedures with either single step or stepdown versions, and four FDR procedures.

person("Gannaz", "Irene", email = "irene.gannaz@insa-lyon.fr", role = c("aut","cre")),

person("Gannaz", "Irene", email = "irene.gannaz@insa-lyon.fr", role = c("aut","cre")))

Title: Missing Item Responses Imputation for Test and Assessment Data
person("Xiaolin", "Wang", role = "aut"),
person("Dubravka", "Svetina", role = "aut"))
Description: Functions for imputing missing item responses for dichotomous and
polytomous test and assessment data. This package enables missing imputation
methods that are suitable for test and assessment data, including: listwise (LW)
deletion, treating as incorrect (IN), person mean imputation (PM), item mean
imputation (IM), two-way imputation (TW), logistic regression imputation (LR),
Depends: R (>= 3.2.5), mice, Amelia, stats