Cécile Adam [aut, cre]
Irène Gijbels [aut]
Provides the local polynomial expectile regression method and different bandwidth selection procedures. The codes include local polynomial univariate expectile regression with several data-driven methods for bandwidth selection; local linear bivariate and trivariate expectile regression; and partially linear expectile regression, allowing for different errors structures (homoscedastic error and various heteroscedastic error structures). For more details, see Adam and Gijbels (2021a) <doi:10.1007/s10463-021-00799-y> and Adam and Gijbels (2021b) <doi:10.1007/978-3-030-73249-3_8>.
locpol, stats, expectreg, quantreg, matrixcalc, lestat

Genome-Wide Association Analysis of a Biomarker Accounting for
Limit of Detection
Ahmad Vaez, Ilja M. Nolte, Peter J. van der Most
Genome-wide association (GWAS) analyses
of a biomarker that account for the limit of detection.

Dependency-Free Access to PNG Image Files
c(person("Jon", "Clayden", email="code@clayden.org", role=c("aut","cre")),
person("Lode", "Vandevenne", role="aut"))
Read and write access to PNG image files using the LodePNG
library. The package has no external dependencies.
Jon Clayden [aut, cre],
Lode Vandevenne [aut]

Limit of Detection Imputation for Single-Pollutant Models
c(
person("Jonathan", "Boss", email = "bossjona@umich.edu", role = c("aut")),
person("Alexander", "Rix", email = "alexrix@umich.edu", role = c("cre")))
Impute observed values below the limit of detection (LOD) via
censored likelihood multiple imputation (CLMI) in single-pollutant
models, developed by Boss et al (2019) <doi:10.1097/EDE.0000000000001052>.
CLMI handles exposure detection limits that may change throughout the course
of exposure assessment. 'lodi' provides functions for imputing and
pooling for this method.
Jonathan Boss [aut],
Alexander Rix [cre]

c(
person("Jonathan", "Boss", email = "bossjona@umich.edu", role = c("aut")),
person("Alexander", "Rix", email = "alexrix@umich.edu", role = c("aut", "cre")))
Jonathan Boss [aut],
Alexander Rix [aut, cre]