Generalised linear mixed model for positional precision.
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Model coefficients for fixed effects are presented.
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2018-07-19
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Supplemental Material, sj-zip-2-smr-10.1177_0049124120986182 - Multiple Group Comparisons of the Fixed and Random Effects From the Generalized Linear Mixed Model
Supplemental Material, sj-zip-2-smr-10.1177_0049124120986182 for Multiple Group Comparisons of the Fixed and Random Effects From the Generalized Linear Mixed Model by Daniel Kasper, Katrin Schulz-Heid
DataCite Commons2024-08-28 更新110
Results of the best GLMMs to test whether the percentage vigilant time (arcsin transformed) was affected by sward height and competitors.
In the model sward height, competitor and their interaction term were included as fixed factors, whereas session, enclosure number, and individual were always included as random factors in all models.
Figshare2016-10-12 更新70
Top three linear mixed-effects models selected using Akaike Information Criterion (AIC) for each adult male and female northern fur seal response variable examined.
F = female; M = male; K = number of parameters; NP = North Pacific Ocean; AS = Alaska Stream; BB = Bering Sea Basin; BS = Bering Sea Shelf; CC = California Current; GA = Gulf of Alaska; WS = wind spee
Figshare2015-12-02 更新20
Parameter estimates and likelihood ratio tests of the GLMM for the activity (number of flights per hour) of all bird species combined.
Reference categories: 1 Time of day = PM, 2 Operation = Running, 3 Distance band = Near, 4 Operation = Braked. The 95% confidence interval represents the quantiles of N = 5000 simulated draws
NIAID Data Ecosystem70
Summary of the Generalised Linear Mixed-Model results from the static trials.
Summary of the Generalised Linear Mixed-Model results from the static trials.
Figshare2016-10-28 更新50
