Showing 7 of total 7 results (show query)
bnaras
PMA:Penalized Multivariate Analysis
Performs Penalized Multivariate Analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis, described in Witten, Tibshirani and Hastie (2009) <doi:10.1093/biostatistics/kxp008> and Witten and Tibshirani (2009) Extensions of sparse canonical correlation analysis, with applications to genomic data <doi:10.2202/1544-6115.1470>.
Maintained by Balasubramanian Narasimhan. Last updated 1 years ago.
4 stars 7.24 score 254 scripts 10 dependents
richierocks
rebus:Build Regular Expressions in a Human Readable Way
Build regular expressions piece by piece using human readable code. This package is designed for interactive use. For package development, use the rebus.* dependencies.
Maintained by Richard Cotton. Last updated 8 years ago.
33 stars 6.56 score 364 scripts 2 dependents
alenxav
NAM:Nested Association Mapping
Designed for association studies in nested association mapping (NAM) panels, experimental and random panels. The method is described by Xavier et al. (2015) <doi:10.1093/bioinformatics/btv448>. It includes tools for genome-wide associations of multiple populations, marker quality control, population genetics analysis, genome-wide prediction, solving mixed models and finding variance components through likelihood and Bayesian methods.
Maintained by Alencar Xavier. Last updated 5 years ago.
2 stars 5.72 score 44 scripts 1 dependentsrichierocks
rebus.base:Core Functionality for the 'rebus' Package
Build regular expressions piece by piece using human readable code. This package contains core functionality, and is primarily intended to be used by package developers.
Maintained by Richard Cotton. Last updated 8 years ago.
2 stars 4.81 score 31 scripts 7 dependentsalenxav
bWGR:Bayesian Whole-Genome Regression
Whole-genome regression methods on Bayesian framework fitted via EM or Gibbs sampling, single step (<doi:10.1534/g3.119.400728>), univariate and multivariate (<doi:10.1186/s12711-022-00730-w>, <doi:10.1093/genetics/iyae179>), with optional kernel term and sampling techniques (<doi:10.1186/s12859-017-1582-3>).
Maintained by Alencar Xavier. Last updated 4 months ago.
7 stars 4.24 score 16 scripts
guangbaog
SOPC:The Sparse Online Principal Component Estimation Algorithm
The sparse online principal component can not only process the online data set, but also obtain a sparse solution of the online data set. The philosophy of the package is described in Guo G. (2022) <doi:10.1007/s00180-022-01270-z>.
Maintained by Guangbao Guo. Last updated 2 years ago.
2.30 score 11 scripts 1 dependents
jongminlee-stat
spherepc:Spherical Principal Curves
Fitting dimension reduction methods to data lying on two-dimensional sphere. This package provides principal geodesic analysis, principal circle, principal curves proposed by Hauberg, and spherical principal curves. Moreover, it offers the method of locally defined principal geodesics which is underway. The detailed procedures are described in Lee, J., Kim, J.-H. and Oh, H.-S. (2021) <doi:10.1109/TPAMI.2020.3025327>. Also see Kim, J.-H., Lee, J. and Oh, H.-S. (2020) <arXiv:2003.02578>.
Maintained by Jongmin Lee. Last updated 3 years ago.
1 stars 1.00 score 4 scripts