Visualizations for 'mice' with 'ggplot2'
person("Hanne", "Oberman", , "h.i.oberman@uu.nl", role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-3276-2141"))
Enhance a 'mice' imputation workflow with visualizations for
incomplete and/or imputed data. The plotting functions produce
'ggplot' objects which may be easily manipulated or extended. Use
'ggmice' to inspect missing data, develop imputation models, evaluate
algorithmic convergence, or compare observed versus imputed data.
dplyr, ggplot2, magrittr, mice, purrr, rlang, stats, stringr,
tidyr, utils
covr, knitr, plotly, rmarkdown, testthat (>= 3.0.0)
person("ggmice authors", role = "cph"), person("Utrecht
University", role = "fnd"), person("University Medical Centre
Utrecht", role = "fnd")
Hanne Oberman [aut, cre] (<https://orcid.org/0000-0003-3276-2141>)

Variable Selection in Linear Mixed Models for SNP Data
c(
person("Sahir", "Bhatnagar", email = "sahir.bhatnagar@gmail.com",
role = c("aut", "cre"), comment = "https://sahirbhatnagar.com/"),
person("Karim", "Oualkacha", email = "oualkacha.karim@uqam.ca",
role = c("aut"), comment = "http://karimoualkacha.uqam.ca/"),
person("Yi", "Yang", email = "yi.yang6@mcgill.ca",
role = c("aut"), comment = "http://www.math.mcgill.ca/yyang/"),
person("Celia", "Greenwood", email = "celia.greenwood@mcgill.ca",
role = c("aut"), comment = "http://www.mcgill.ca/statisticalgenetics/")
)
Fit penalized multivariable linear mixed models with a single
random effect to control for population structure in genetic association
studies. The goal is to simultaneously fit many genetic variants at the
same time, in order to select markers that are independently associated
with the response. Can also handle prior annotation information,
for example, rare variants, in the form of variable weights. For more
information, see the website below and the accompanying paper:
Bhatnagar et al., "Simultaneous SNP selection and adjustment for
population structure in high dimensional prediction models", 2020,
<DOI:10.1101/408484>.
RSpectra, popkin, bnpsd, testthat, covr, knitr, rmarkdown
Sahir Bhatnagar [aut, cre] (https://sahirbhatnagar.com/),
Karim Oualkacha [aut] (http://karimoualkacha.uqam.ca/),
Yi Yang [aut] (http://www.math.mcgill.ca/yyang/),
Celia Greenwood [aut] (http://www.mcgill.ca/statisticalgenetics/)