Imports: countrycode, curl, data.table, httr, R.utils, stats, utils
Suggests: dplyr, ggplot2, gridExtra, knitr, mapproj, maps, remotes,
rmarkdown, roxygen2 (>= 6.1.0), testthat, tidyr
Packaged: 2021-01-24 04:38:12 UTC; adamsparks

Authors@R: c(person("Adam H.", "Sparks", role = c("aut", "cre"),
Packaged: 2021-03-21 04:40:34 UTC; adamsparks
Author: Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>),
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

Suggests: dplyr, spelling, ggplot2, gridExtra, knitr, mapproj, maps,
remotes, rmarkdown, roxygen2, testthat, tidyr
Packaged: 2021-06-25 08:45:45 UTC; adamsparks

Packaged: 2021-07-04 02:21:41 UTC; adamsparks
return stations in order of nearest to farthest)

Packaged: 2021-10-06 13:48:25 UTC; adamsparks

Packaged: 2022-05-07 05:18:26 UTC; adamsparks

Packaged: 2022-08-13 05:51:45 UTC; adamsparks

Description: We propose a fully efficient sieve maximum likelihood method to estimate genotype-specific distribution of time-to-event outcomes under a nonparametric model. We can handle missing genotypes in pedigrees.  We estimate the time-dependent hazard ratio between two genetic mutation groups using B-splines, while applying nonparametric maximum likelihood estimation to the reference baseline hazard function.  The estimators are calculated via an expectation-maximization algorithm.
Author: Baosheng Liang, Yuanjia Wang and Donglin Zeng
Imports: Iso (>= 0.0-17), splines, stats, zoo (>= 1.7-12)

Author: Sayanti Guha Majumdar, Anil Rai, Dwijesh Chandra Mishra
Maintainer: Sayanti Guha Majumdar <sayanti23gm@gmail.com>
Description: Genomic selection is a specialized form of marker assisted selection. The package contains functions to select important genetic markers and predict phenotype on the basis of fitted training data using integrated model framework (Guha Majumdar et. al. (2019) <doi:10.1089/cmb.2019.0223>) developed by combining one additive (sparse additive models by Ravikumar et. al. (2009) <doi:10.1111/j.1467-9868.2009.00718.x>) and one non-additive (hsic lasso by Yamada et. al. (2014) <doi:10.1162/NECO_a_00537>) model.
Imports: SAM, penalized, gdata, stats, utils