套件:r-cran-susier(0.12.35+dfsg-1)
r-cran-susier 的相關連結
Debian 的資源:
下載原始碼套件 r-cran-susier:
- [r-cran-susier_0.12.35+dfsg-1.dsc]
- [r-cran-susier_0.12.35+dfsg.orig.tar.xz]
- [r-cran-susier_0.12.35+dfsg-1.debian.tar.xz]
維護小組:
外部的資源:
- 主頁 [cran.r-project.org]
相似套件:
GNU R sum of single effects linear regression
Implements methods for variable selection in linear regression based on the "Sum of Single Effects" (SuSiE) model, as described in Wang et al (2020) <DOI:10.1101/501114>. These methods provide simple summaries, called "Credible Sets", for accurately quantifying uncertainty in which variables should be selected. The methods are motivated by genetic fine-mapping applications, and are particularly well-suited to settings where variables are highly correlated and detectable effects are sparse. The fitting algorithm, a Bayesian analogue of stepwise selection methods called "Iterative Bayesian Stepwise Selection" (IBSS), is simple and fast, allowing the SuSiE model be fit to large data sets (thousands of samples and hundreds of thousands of variables).
其他與 r-cran-susier 有關的套件
|
|
|
|
-
- dep: python3
- interactive high-level object-oriented language (default python3 version)
-
- dep: r-api-4.0
- 本虛擬套件由這些套件填實: r-base-core
-
- dep: r-base-core (>= 4.2.2.20221110-2)
- GNU R core of statistical computation and graphics system
-
- dep: r-cran-crayon
- GNU R colored terminal output
-
- dep: r-cran-ggplot2
- implementation of the Grammar of Graphics
-
- dep: r-cran-matrix
- GNU R package of classes for dense and sparse matrices
-
- dep: r-cran-matrixstats
- GNU R methods that apply to rows and columns of a matrix
-
- dep: r-cran-mixsqp
- Quadratic Programming for Estimation of Mixture Proportions
-
- dep: r-cran-reshape
- Flexibly reshape data
-
- rec: r-cran-testthat
- GNU R testsuite
-
- sug: caviar
- 套件暫時不可用
-
- sug: finemap
- 套件暫時不可用
-
- sug: r-cran-cowplot
- GNU R streamlined plot theme and plot annotations for 'ggplot2'
-
- sug: r-cran-curl
- GNU R modern and flexible web client for R
-
- sug: r-cran-knitr
- GNU R package for dynamic report generation using Literate Programming
-
- sug: r-cran-rmarkdown
- convert R markdown documents into a variety of formats