clone_model             Clone a GLInv model
fit.glinv               Fitting a GLInv model via numerical
                        optimisation
get_restricted_ou       Convenience function for constructing
                        restricted/reparameterised OU parameterisation
                        function.
glinv                   Construct an GLInv model with respect to
                        user-specified parametrisation
glinv_gauss             Construct an object representing a GLInv model
                        with respect to the underlying Gaussian process
                        parameters.
glinvci                 glinvci: Confidence intervals and hypothesis
                        testing for GLInv model
grad                    Compute the log-likelihood gradients of GLInv
                        models
has_tipvals             Check if a 'glinv_gauss' model contains trait
                        values at their tips.
hess                    Compute the log-likelihood Hessian of GLInv
                        models
lik                     Compute the likelihood of a GLInv model
marginal_ci             Getting marginal confidence interval for GLInv
                        model
nparams_ou              Get the number of parameters of the
                        unrestricted OU model
ou_haltlost             Handling missing data and lost traits in
                        Ornstein-Uhlenbeck processes
oupar                   Parameterisation functions of
                        Ornstein-Uhlenbeck model
parameter_restriction   Restrict the parameters space of OU and
                        Brownian motion models.
rglinv                  Simulate random trait values from models.
set_tips                Set trait values at the tip for a 'glinv_gauss'
                        model.
varest                  Estimate the variance-covariance matrix of the
                        maximum likelihood estimator.
