Title: Bayesian Adaptive Elastic-Net for high dimensional sparse
Author: Rahim AlHamzawi and Dries F. Benoit
Description: This package provides functions for variable selection and
estimation for quantile regressions in high-dimensional sparse
models, both continuous as well as binary dependent variables

Title: Estimate Aerosol Particle Collection Through Sample Lines
Description: Estimate ideal efficiencies of aerosol sampling through sample
lines. Functions were developed consistent with the approach described in
Hogue, Mark; Thompson, Martha; Farfan, Eduardo; Hadlock, Dennis, (2014),
"Hand Calculations for Transport of Radioactive Aerosols through Sampling
Imports: dplyr, purrr, magrittr, tidyr, ggplot2, ggthemes, stringr,

Imports: dplyr, purrr, tidyr, ggplot2, ggthemes, stringr, tidyselect,

Title: Aggregate Numeric and Categorical Variables by an ID
Author: Matthias Bogaert, Michel Ballings, Dirk Van den Poel
Description: Convenience functions for aggregating data frame. Currently mean, sum and variance are supported. There is also support for dummy variables in predictive contexts.
Packaged: 2015-10-01 15:58:24 UTC; matthiasbogaert

Title: Aggregate Numeric, Date and Categorical Variables by an ID
Description: Convenience functions for aggregating data frame. Currently mean, sum and variance are supported. For Date variables, recency and duration are supported. There is also support for dummy variables in predictive contexts.
Packaged: 2015-11-23 09:38:34 UTC; matthiasbogaert

Title: Aggregate Numeric, Date and Categorical Variables
Imports: stats, utils, methods, data.table, tibble, NCmisc
Description: Convenience functions for aggregating a data frame or data table.
Currently mean, sum and variance are supported. For Date variables, the recency
and duration are supported. There is also support for dummy variables in
predictive contexts. Code has been completely re-written in data.table for computational speed.

Title: Statistical Tools for Measuring Agreement
Description: This package computes several statistics for measuring
agreement, for example, mean square deviation (MSD), total
deviation index (TDI) or concordance correlation coefficient
(CCC). It can be used for both continuous data and categorical
data for multiple raters and multiple readings cases.