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Data from: A method for assessing phylogenetic least squares models for shape and other high-dimensional multivariate data
负责人:
关键词:
Plethodon
DOI:
doi:10.5061/dryad.36df0
摘要:
, it is incapable of assessing patterns in highly-multivariate data, as the large number of variables relative to sample size prohibits parametric test statisti
Data from: Rate of evolutionary change in cranial morphology of the marsupial genus Monodelphis is constrained by the ava
负责人:
关键词:
quantitative genetics;Constraints;morphospace;Mammals;Morphometrics;Monodelphis domestica
DOI:
doi:10.5061/dryad.3p147
摘要:
. To do so, we carried out a genetic analysis of cranial morphological variation in laboratory strains of Monodelphis domestica and used estimates of genetic covariati
Data from: Bayesian hierarchical models for spatially misaligned data in R
负责人:
关键词:
DOI:
doi:10.5061/dryad.3g9s2
摘要:
and illustrates a Bayesian regression framework for modelling spatially misaligned multivariate data. Particular attention is paid to developing va
Data from: Quantifying and modelling decay in forecast proficiency indicates the limits of transferability in land-cover classification
负责人:
关键词:
R;classification;2006-2010
DOI:
doi:10.5061/dryad.s156b
摘要:
cifically designed to predict multivariate decay-curves we ask: how does a model’s predictive performance decay with distance? More specifically, we explored
Data from: Complementary strengths of spatially-explicit and multi-species distribution models
负责人:
关键词:
eastern hemlock;Joint species distribution model;Michigan;species co-occurrence;Tsuga canadensis;USA
DOI:
doi:10.5061/dryad.fj6q573qg
摘要:
forest stands across Michigan, USA to evaluate how the choice of model structure, including spatial and non-spatial forms of univariate and multivariate models
Data from: The EGA+GNM framework: an integrative approach to modelling behavioural syndromes
负责人:
Martin, Jordan S.
关键词:
multivariate personality behavioural syndrome social behavior primate factor analysis network
DOI:
doi:10.5061/dryad.5f88r9m
摘要:
t latent factors and pairwise interactions are likely ubiquitous causes of trait covariation, both should be modelled simultaneously. Currently, howeve
Data from: A penalized likelihood framework for high- dimensional phylogenetic comparative methods and an application to new-world mo
负责人:
关键词:
approximate LOOCV;large p small n;Generalized Information Criteria;phylogenetic signal;LASSO;Shrinkage;new world monkeys;Phylogenetic PCA;Evolutionary covariances;Regularization;Ridge;brain shape
DOI:
doi:10.5061/dryad.rf7317t
摘要:
nce matrix and parameters of the evolutionary model) and model comparison for the high-dimensional multivariate Brownian (BM), Early-burst (EB), Ornstein-Uhlenbeck (OU
Data from: Genetic basis of adult migration timing in anadromous steelhead discovered through multivariate association testing
负责人:
关键词:
GWAS;Anadromous fishes;Migratory species;Oncorhynchus mykiss;Holocene
DOI:
doi:10.5061/dryad.62q6n
摘要:
on owing to high levels of interbreeding, but a univariate mixed linear model found three SNPs from a major effect gene to be significantly associated with migrati
Data from: On the roles of landscape heterogeneity and environmental variation in determining population genomic structure in a dendritic system
负责人:
关键词:
landscape genomics;climate change;dendritic networks;ddRAD-seq;Melanotaenia fluviatilis
DOI:
doi:10.5061/dryad.t2v8825
摘要:
ted with hydroclimatic variation. Patterns of neutral genetic variation were consistent with expectations based on the stream hierarchy model and M. fluviatilis’ mode

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