Found 316 packages in 0.02 seconds
DMR Detection by Non-Homogeneous Hidden Markov Model from Methylation Array Data
Perform differential analysis for methylation array data. Detect differentially methylated regions (DMRs) from array M-values. The core is a Non-homogeneous Hidden Markov Model for estimating spatial correlation and a novel Constrained Gaussian Mixture Model for modeling the M-value pairs of each individual locus.
Interior Point Conic Optimization Solver
A versatile interior point solver that solves linear programs (LPs), quadratic programs (QPs), second-order cone programs (SOCPs), semidefinite programs (SDPs), and problems with exponential and power cone constraints (< https://clarabel.org/stable/>). For quadratic objectives, unlike interior point solvers based on the standard homogeneous self-dual embedding (HSDE) model, Clarabel handles quadratic objective without requiring any epigraphical reformulation of its objective function. It can therefore be significantly faster than other HSDE-based solvers for problems with quadratic objective functions. Infeasible problems are detected using using a homogeneous embedding technique.
'NOAA' Weather Data from R
Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at < https://www.ncdc.noaa.gov/cdo-web/webservices/v2>, with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
Improves the Interpretation of the Standardized Precipitation Index Under Changing Climate Conditions
Improves the interpretation of the Standardized Precipitation
Index under changing climate conditions. The package uses the
nonstationary approach proposed in Blain et al. (2022)
NUtrient Cycling and COMpetition Model Undisturbed Open Bog Ecosystems in a Temperate to Sub-Boreal Climate
Modelling the vegetation, carbon, nitrogen and water dynamics of undisturbed open bog ecosystems in a temperate to sub-boreal climate. The executable of the model can downloaded from < https://github.com/jeroenpullens/NUCOMBog>.
A Probabilistic Approach to Reconstruct Past Climates Using Palaeoecological Datasets
Applies the CREST climate reconstruction
method. It can be used using the calibration data that can be obtained
through the package or by importing private data. An ensemble of
graphical outputs were designed to facilitate the use of the
package and the interpretation of the results. More information can
be obtained from Chevalier (2022)
Interface to the 'Daymet' Web Services
Programmatic interface to the 'Daymet' web services (< http://daymet.ornl.gov>). Allows for easy downloads of 'Daymet' climate data directly to your R workspace or your computer. Routines for both single pixel data downloads and gridded (netCDF) data are provided.
Ecological Inference by Linear Programming under Homogeneity
Provides a bunch of algorithms based on linear programming for estimating, under
the homogeneity hypothesis, RxC ecological contingency tables (or vote transition matrices)
using mainly aggregate data (from voting units).
References:
Pavía and Romero (2024)
Improved q-Values for Discrete Uniform and Homogeneous Tests
We consider a multiple testing procedure used in many modern applications which is the q-value method proposed by Storey and Tibshirani (2003),
Tools for CM SAF NetCDF Data
The Satellite Application Facility on Climate Monitoring (CM SAF) is a ground segment of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite Application Facilities. The CM SAF contributes to the sustainable monitoring of the climate system by providing essential climate variables related to the energy and water cycle of the atmosphere (< https://www.cmsaf.eu>). It is a joint cooperation of eight National Meteorological and Hydrological Services. The 'cmsafops' R-package provides a collection of R-operators for the analysis and manipulation of CM SAF NetCDF formatted data. Other CF conform NetCDF data with time, longitude and latitude dimension should be applicable, but there is no guarantee for an error-free application. CM SAF climate data records are provided for free via (< https://wui.cmsaf.eu/safira>). Detailed information and test data are provided on the CM SAF webpage (< http://www.cmsaf.eu/R_toolbox>).