Man pages for Hmsc
Hierarchical Model of Species Communities
| alignPosterior | alignPosterior |
| biPlot | biPlot |
| c.Hmsc | Combine Posterior Samples of Several Hmsc Models |
| computeAssociations | computeAssociations |
| computeDataParameters | computeDataParameters |
| computeInitialParameters | computeInitialParameters |
| computePredictedValues | computePredictedValues |
| computeVariancePartitioning | computeVariancePartitioning |
| computeWAIC | computeWAIC |
| constructGradient | constructGradient |
| constructKnots | constructKnots |
| convertToCodaObject | convertToCodaObject |
| createPartition | createPartition |
| evaluateModelFit | evaluateModelFit |
| getPostEstimate | getPostEstimate |
| Hmsc | Hmsc |
| Hmsc-package | Hmsc: Hierarchical Model of Species Communities |
| HmscRandomLevel | Create an 'Hmsc' random level |
| plotBeta | plotBeta |
| plotGamma | plotGamma |
| plotGradient | plotGradient |
| plotVariancePartitioning | plotVariancePartitioning |
| poolMcmcChains | poolMcmcChains |
| predict.Hmsc | predict |
| predictLatentFactor | predictLatentFactor |
| prepareGradient | prepareGradient |
| sampleMcmc | sampleMCMC |
| samplePrior | samplePrior |
| setPriors | setPriors |
| setPriors.Hmsc | setPriors.Hmsc |
| setPriors.HmscRandomLevel | setPriors.HmscRandomLevel |
| TD | Simulated data and a fitted Hmsc model for a small species... |
