NEWS.md

In hmmTMB: Fit Hidden Markov Models using Template Model Builder

hmmTMB 1.1.0

• Add standard error to output of HMM$confint()
• Use ID-specific delta0 when initial_state = "stationary"
• Add par_alt() functions for pretty display of cat and mvn parameters.
• Improve mvn distribution (automatically detect dimension), and fix mvnorm for dim > 2, using a Cholesky decomposition to get unconstrained parameters of covariance matrix.
• Add zero-one-inflated beta distribution
• Replace optimx by nlminb for model fitting
• Allow empty models for simulation
• Use generalized determinant for penalty matrices
• Add nbinom(mean, shape) distribution
• Allow for user-specified arguments to be passed directly to mgcv::gam(); e.g., knots.
• Add built-in functions dvm, rvm, dwrpcauchy, rwrpcauchy, to remove dependence on CircStats (as requested by CRAN).

hmmTMB 1.0.2

• Fix bug for categorical distribution
• Fix bug when using tibble input data
• Fix bugs for models with shared parameters
• Add HMM$suggest_initial()

hmmTMB documentation built on June 25, 2025, 1:06 a.m.