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AICc(<gllvm>) nobs(<gllvm>)
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Corrected Akaike information criterion and number of observations |
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anova(<gllvm>)
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Analysis Of Deviance for gllvm |
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coefplot(<gllvm>)
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Plot covariate coefficients and confidence intervals |
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confint(<gllvm>)
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Confidence intervals for model parameters |
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optima(<gllvm>) tolerances(<gllvm>)
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Functions to extract ecological quantities of the latent variables from a GLLVM, if species are a quadratic function of the latent variables. |
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getLV(<gllvm>)
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Extract latent variables |
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getPredictErr(<gllvm>)
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Extract prediction errors for latent variables from gllvm object |
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getResidualCor(<gllvm>)
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Extract residual correlations from gllvm object |
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getResidualCov(<gllvm>)
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Extract residual covariance matrix from gllvm object |
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gllvm()
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Generalized Linear Latent Variable Models |
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logLik(<gllvm>)
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Log-likelihood of gllvm |
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microbialdata
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Microbial community data |
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ordiplot(<gllvm>)
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Plot latent variables from gllvm model |
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plot(<gllvm>)
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Plot Diagnostics for an gllvm Object |
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predict(<gllvm>)
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Predict Method for gllvm Fits |
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predictLVs(<gllvm>)
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Predict latent variables for gllvm Fits |
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randomCoefplot(<gllvm>)
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Plot random slope coefficients |
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residuals(<gllvm>)
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Dunn-Smyth residuals for gllvm model |
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se(<gllvm>)
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Standard errors for gllvm model |
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simulate(<gllvm>)
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Simulate data from gllvm fit |
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sim_bacteria
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Simulated bacteria data |
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summary(<gllvm>) print(<summary.gllvm>)
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Summarizing gllvm model fits |
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vcov(<gllvm>)
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Returns variance-covariance matrix of coefficients in a GLLVM. |