Description Details Author(s) References Examples
The multinomial diversity model is a toolbox for relating diversity to complex predictors. It is based on (1) Shannon diversity; (2) the multinomial logit model, and (3) the link between Shannon diversity and the log-likelihood of the MLM.
Package: | MDM |
Type: | Package |
Version: | 1.0 |
Date: | 2011-09-08 |
License: | GPL (version 2 or newer) |
LazyLoad: | yes |
Glenn De'ath: g.death@aims.gov.au
De'ath, G. (2011) The Multinomial Diversity Model: Linking Shannon Diversity To Multiple Predictors
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Loading required package: nnet
# weights: 12 (5 variable)
# weights: 18 (10 variable)
initial value 50.169265
iter 10 value 38.780815
iter 20 value 38.409944
final value 38.409941
converged
# weights: 24 (15 variable)
initial value 50.169265
iter 10 value 36.791764
iter 20 value 35.415854
iter 30 value 35.415361
final value 35.415361
converged
# weights: 174 (140 variable)
Deviances, Entropies and Diversities of Parametric Diversity Models
Response: y2p(spider6[, 1:6])
Model 1: y2p(spider6[, 1:6]) ~ 1
Model 2: y2p(spider6[, 1:6]) ~ Water
Model 3: y2p(spider6[, 1:6]) ~ Water + Herbs
Model 4: y2p(spider6[, 1:6]) ~ Site
DF DF-Diff Dev Dev-Diff Ent Ent-Diff Div Div-Ratio
1 135 94.105 1.6804 5.3680
2 130 5 76.820 17.2856 1.3718 0.30867 3.9424 1.3616
3 125 5 70.831 5.9892 1.2648 0.10695 3.5425 1.1129
4 0 125 60.923 9.9075 1.0879 0.17692 2.9681 1.1935
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