Title: Multiple Imputation for Proteomics
Imports: DAPAR, emmeans, foreach, imp4p, impute, limma, mice, stringr
Suggests: Biobase, knitr, R.rsp, rmarkdown
person(given = "Marie", family= "Chion", role = c("aut"), email = "mariechion@protonmail.com", comment = c(ORCID = "0000-0001-8956-8388")),
person(given = "Christine", family= "Carapito", role = c("aut"), email = "ccarapito@unistra.fr", comment = c(ORCID = "0000-0002-0079-319X")),
person(given = "Gordon", family= "Smyth", role = c("ctb")),
person(given = "Davis", family= "McCarthy", role = c("ctb")),
person(given = "Hélène", family= "Borges", role = c("ctb")),
person(given = "Thomas", family= "Burger", role = c("ctb")),
person(given = "Quentin", family= "Giai-Gianetto", role = c("ctb")),
person(given = "Samuel", family= "Wieczorek", role = c("ctb"))
Author: Marie Chion [aut] (<https://orcid.org/0000-0001-8956-8388>),
Frederic Bertrand [cre, aut] (<https://orcid.org/0000-0002-0837-8281>),
Contact: Marie Chion <marie.chion@protonmail.fr>, Frederic Bertrand
Description: A framework for multiple imputation for proteomics is proposed by Marie Chion, Christine Carapito and Frederic Bertrand (2021) <arxiv:2108.07086>. It is dedicated to dealing with multiple imputation for proteomics.

Imports: emmeans, foreach, imp4p, impute, limma, mice, stringr
Suggests: Biobase, knitr, R.rsp, markdown, rmarkdown

Suggests: Biobase, knitr, R.rsp, markdown, prettydoc, rmarkdown

Suggests: Biobase, knitr, R.rsp, markdown, prettydoc, rmarkdown,

Title: Promotion Time Cure Model with Mis-Measured Covariates
Author: Aurelie Bertrand, Catherine Legrand, Ingrid Van Keilegom
Imports: MASS, nleqslv, survival, compiler, distr
Description: Fits Semiparametric Promotion Time Cure Models, taking into account (using a
corrected score approach or the SIMEX algorithm) or not the measurement error
in the covariates, using a backfitting approach to maximize the likelihood.
Packaged: 2016-01-20 15:24:34 UTC; aurbertrand

Packaged: 2020-12-07 13:31:57 UTC; aurbertrand

Title: Association Tests for Microbial Lineages on a Taxonomic Tree
Description: A variety of association tests for microbiome data analysis including Quasi-Conditional Association Tests (QCAT) described in Tang Z.-Z. et al.(2017) <doi:10.1093/bioinformatics/btw804> and Zero-Inflated Generalized Dirichlet Multinomial (ZIGDM) tests described in Tang Z.-Z. & Chen G. (2017, submitted).
Depends: R (>= 3.1.1), MASS, data.table, geepack