Structured row parameters are implemented, including a possibility for between or within group correlations for random row effects.
Constrained ordination model is implemented.
NB and binomial (with probit and logit) response model implemented using extended variational approximation method.
Quadratic latent variables allowed, that is term - u_i’D_j u_i can be included in the model using ‘quadratic = TRUE’. In addition, functions ‘optima()’, ‘tolerances()’ and ‘gradient.length()’ included.
Beta response distribution implemented using Laplace approximation and extended variational approximation method.
Tweedie response model implemented using extended variational approximation method.
Ordinal model works now for ‘num.lv=0’.
Residual covariance adjustment added for gaussian family.
Estimation of the variances of random slopes of the X covariates didn’t work properly when ‘row.eff = FALSE’ or ‘row.eff = “fixed”’.
Problems occurred in calculation of the starting values for ordinal model.
Problems occurred in predict() and residuals(), when random slopes for X covariates were included.
Problems occurred in predict() when new X covariates were given.
Problems occurred in predictLVs() for fourth corner models.