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Data from: Mechanisms of reciprocity and diversity in social networks: a modelling and comparative approach
负责人:
Puga-Gonzalez, Ivan
关键词:
grooming macaques social network
DOI:
doi:10.5061/dryad.6m220kd
摘要:
and quantitatively compared social network metrics of the empirical and the models’ grooming networks. The three models captured fairly well the features of observe
Data from: Monte Carlo Strategies for selecting parameter values in simulation experiments
负责人:
关键词:
phylogenetic analysis;Simulation;Markov chain Monte Carlo;Plant domestication;Importance sampling
DOI:
doi:10.5061/dryad.366j4
摘要:
Simulation experiments are used widely throughout evolutionary biology and bioinformatics to compare models, promote methods, and test hypotheses
Data from: Phylogenetic ANOVA: the Expression Variance and Evolution model for quantitative trait evolution
负责人:
关键词:
Ornstein-Uhlenbeck model;Plasticity;expression adaptation;population variance;comparative expression
DOI:
doi:10.5061/dryad.r122k
摘要:
for a phylogenetic model in comparative expression studies and show the utility of the EVE model to detect expression divergence, diversity, and branch-specific shifts.
Data from: Detecting adaptive evolution in phylogenetic comparative analysis using the Ornstein-Uhlenbeck model
负责人:
关键词:
Ornstein-Uhlenbeck;evolutionary model;model selection;Adaptation;phylogenetic comparative analysis
DOI:
doi:10.5061/dryad.b2t2f
摘要:
s, we note that accurate model selection is often possible when parameters are only weakly identified. Our results have implications for more sophisti
Data from: Penalized likelihood methods improve parameter estimates in occupancy models
负责人:
关键词:
penalized likelihood;boundary estimates;maximum likelihood;summer 2011;occupancy modeling;detection probability;parameter estimation
DOI:
doi:10.5061/dryad.t40f2
摘要:
in ridge regression and Bayesian approaches, and we compare them to a penalty developed for occupancy models in prior work. 3. We examine the bias, var
Data from: The relative importance of modeling site pattern heterogeneity versus partition-wise heterotachy in phylogenomic inference
负责人:
关键词:
site heterogeneity;long-branch attraction;partition model;heterotachy;mixture model;gene tree heterogeneity
DOI:
doi:10.5061/dryad.68qt629
摘要:
several empirical analyses and a large set of simulations to compare the relative performances of partitioned models, site-heterogeneous models
Data from: From fine-scale foraging to home ranges: a semi-variance approach to identifying movement modes across spatiotemporal scales
负责人:
关键词:
Behavior Dispersal Ecology: statistical Modeling: stochastic spatial Statistics: spatial Theory Grasslands ungulates
DOI:
doi:10.5061/dryad.45157
摘要:
ce, continuous-time stochastic movement models in terms of their SVFs, connect them to relocation data via variogram regression, and compare them usi
Data from: A logical model of homology for comparative biology
负责人:
关键词:
ontology;Knowledgebase;morphology;homology;Evolution;anatomy
DOI:
doi:10.5061/dryad.0373j7r
摘要:
ked with the genes responsible for anatomical modifications. Homology is a key concept in comparative anatomy; two important types are historical homo
Data from: Comparison of infinitesimal and finite locus models for long-term breeding simulations with direct and maternal effects at the examp
负责人:
Plate, Manuel
关键词:
simulation studies animal breeding direct and maternal effects honeybees infinitesimal model finite locus model
DOI:
doi:10.5061/dryad.1nh544n
摘要:
ween the effects of r_md = ?0.18. Another set of simulations was run with parameters h2_m = 0.53, h2_d = 0.34, and r_md = ?0.53. All models showed similar behavior
Data from: PHRAPL: phylogeographic inference using approximate likelihoods
负责人:
关键词:
gene flow;Scincella;Multispecies coalescent;population genetics;migration rate;grid search;Sarracenia;isolation-with-migration;Homo Sapiens;genealogical divergence index;coalescent simulations;approximate likelihoods;AIC;parameter optimization;tree topologies
DOI:
doi:10.5061/dryad.1414v
摘要:
in model selection and parameter estimation using simulated data. We also compare model probabilities estimated using our approximate likelihood method to those obta

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