Showing 6 of total 6 results (show query)
phytoclass
phytoclass:Estimate Chla Concentrations of Phytoplankton Groups
Determine the chlorophyll a (Chl a) concentrations of different phytoplankton groups based on their pigment biomarkers. The method uses non-negative matrix factorisation and simulated annealing to minimise error between the observed and estimated values of pigment concentrations (Hayward et al. (2023) <doi:10.1002/lom3.10541>). The approach is similar to the widely used 'CHEMTAX' program (Mackey et al. 1996) <doi:10.3354/meps144265>, but is more straightforward, accurate, and not reliant on initial guesses for the pigment to Chl a ratios for phytoplankton groups.
Maintained by Alexander Hayward. Last updated 24 days ago.
2 stars 5.88 score 9 scripts
bioc
flowMatch:Matching and meta-clustering in flow cytometry
Matching cell populations and building meta-clusters and templates from a collection of FC samples.
Maintained by Ariful Azad. Last updated 5 months ago.
immunooncologyclusteringflowcytometrycpp
3.90 score 1 scripts
cran
s2dv:A Set of Common Tools for Seasonal to Decadal Verification
The advanced version of package 's2dverification'. It is intended for 'seasonal to decadal' (s2d) climate forecast verification, but it can also be used in other kinds of forecasts or general climate analysis. This package is specially designed for the comparison between the experimental and observational datasets. The functionality of the included functions covers from data retrieval, data post-processing, skill scores against observation, to visualization. Compared to 's2dverification', 's2dv' is more compatible with the package 'startR', able to use multiple cores for computation and handle multi-dimensional arrays with a higher flexibility. The CDO version used in development is 1.9.8.
Maintained by Ariadna Batalla. Last updated 6 months ago.
1.95 score 3 dependentscran
MVar.pt:Analise multivariada (brazilian portuguese)
Analise multivariada, tendo funcoes que executam analise de correspondencia simples (CA) e multipla (MCA), analise de componentes principais (PCA), analise de correlacao canonica (CCA), analise fatorial (FA), escalonamento multidimensional (MDS), analise discriminante linear (LDA) e quadratica (QDA), analise de cluster hierarquico e nao hierarquico, regressao linear simples e multipla, analise de multiplos fatores (MFA) para dados quantitativos, qualitativos, de frequencia (MFACT) e dados mistos, biplot, scatter plot, projection pursuit (PP), grant tour e outras funcoes uteis para a analise multivariada.
Maintained by Paulo Cesar Ossani. Last updated 4 months ago.
1.60 scorecran
MVar:Multivariate Analysis
Multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), linear (LDA) and quadratic discriminant analysis (QDA), hierarchical and non-hierarchical cluster analysis, simple and multiple linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, biplot, scatter plot, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.
Maintained by Paulo Cesar Ossani. Last updated 4 months ago.
1.60 score
