sgdm: An R Package for Performing Sparse Generalized Dissimilarity Modelling with Tools for gdm
نویسندگان
چکیده
منابع مشابه
sgdm: An R Package for Performing Sparse Generalized Dissimilarity Modelling with Tools for gdm
Global biodiversity change creates a need for standardized monitoring methods. Modelling and mapping spatial patterns of community composition using high-dimensional remotely sensed data requires adapted methods adequate to such datasets. Sparse generalized dissimilarity modelling is designed to deal with high dimensional datasets, such as time series or hyperspectral remote sensing data. In th...
متن کاملSparseM: A Sparse Matrix Package for R
SparseM provides some basic R functionality for linear algebra with sparse matrices. Use of the package is illustrated by a family of linear model fitting functions that implement least squares methods for problems with sparse design matrices. Significant performance improvements in memory utilization and computational speed are possible for applications involving large sparse matrices.
متن کاملhaploR: an R package for querying web-based annotation tools
We developed haploR, an R package for querying web based genome annotation tools HaploReg and RegulomeDB. haploR gathers information in a data frame which is suitable for downstream bioinformatic analyses. This will facilitate post-genome wide association studies streamline analysis for rapid discovery and interpretation of genetic associations.
متن کاملhaploR: an R-package for querying web-based annotation tools
There exists a set of web-based tools for integration and exploring information linked to annotated genetic variants. We developed , an R-package for haploR querying such web-based genome annotation tools (currently implementing on HaploReg and RegulomeDB) and gathering information in a format suitable for downstream bioinformatic analyses. This will facilitate post-genome wide association stu...
متن کاملSCGLR - An R Package for Supervised Component Generalized Linear Regression
The objective of this paper is to present an R package, SCGLR, implementing a new PLS regression approach in the multivariate generalized linear framework. The method allows the joint modeling of random variables from different exponential family distributions, searching for common PLS-type components. We discuss several of the functions in the package focusing in particular on the two main one...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ISPRS International Journal of Geo-Information
سال: 2017
ISSN: 2220-9964
DOI: 10.3390/ijgi6010023