Version 1.3.1 Unreleased

New Features

  • 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.

Version 1.3.0 2021-04-30

New Features

  • 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.

Bug Fixes

  • 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.