Found 61 packages in 0.13 seconds
Temporal Trends in Ecological Niche Models
Computes temporal trends in environmental suitability obtained from ecological niche models, based on a set of species presence point coordinates and predictor variables.
Semi-Supervised Model for Geographical Document Classification
Semissupervised model for geographical document classification (Watanabe 2018)
Tools Developed by the Long Term Ecological Research Community
Set of the data science tools created by various members of the Long Term Ecological Research (LTER) community. These functions were initially written largely as standalone operations and have later been aggregated into this package.
Longitudinal Concordance Correlation
Estimates the longitudinal concordance correlation to access the longitudinal agreement profile. The estimation approach implemented is variance components approach based on polynomial mixed effects regression model, as proposed by Oliveira, Hinde and Zocchi (2018)
Generalized Spatial-Time Sequence Miner
Implementations of the algorithms present article
Generalized Spatial-Time Sequence Miner, original title
(Castro, Antonio; Borges, Heraldo ; Pacitti, Esther ; Porto, Fabio
; Coutinho, Rafaelli ; Ogasawara, Eduardo . Generalização de Mineração de
Sequências Restritas no Espaço e no Tempo. In: XXXVI SBBD -
Simpósio Brasileiro de Banco de Dados, 2021
Create Network Connections Based on Chess Moves
Provides functions to work with directed (asymmetric) and
undirected (symmetric) spatial networks. It makes the creation of
connectivity matrices easier, i.e. a binary matrix of dimension n x n, where
n is the number of nodes (sampling units) indicating the presence (1) or
the absence (0) of an edge (link) between pairs of nodes. Different network
objects can be produced by 'chessboard': node list, neighbor list, edge
list, connectivity matrix. It can also produce objects that will be used
later in Moran's Eigenvector Maps (Dray et al. (2006)
Multiple Imputation for Proteomics
A framework for multiple imputation for proteomics is proposed by Marie Chion, Christine Carapito and Frederic Bertrand (2021)
Make 'Mirai' 'Promises'
Allows 'mirai' objects encapsulating asynchronous computations,
from the 'mirai' package by Gao (2023)
Analysis and Identification of Raman Spectra of Microplastics
Pre-processing and polymer identification of Raman spectra of plastics. Pre-processing includes normalisation functions, peak identification based on local maxima, smoothing process and removal of spectral region of no interest. Polymer identification can be performed using Pearson correlation coefficient or Euclidean distance (Renner et al. (2019),
Procrustes Matching for Latent Space Item Response Model
Procrustes matching of the posterior samples of person and item latent positions from latent space item response models. The methods implemented in this package are based on work by Borg, I., Groenen, P. (1997, ISBN:978-0-387-94845-4), Jeon, M., Jin, I. H., Schweinberger, M., Baugh, S. (2021)