NEWS

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hmmTMB 1.1.3

• New vignette on (semi-)supervised learning
• Fix parameter counts for models with constraints
• Use safe Hessian inversion even for models without random effects in HMM$post_coeff() and HMM$confint()

hmmTMB 1.1.2 (2025-11-05)

• Add hurdle negative binomial distribution
• Fix bug in HMM$fit_stan()
• Fix bug in HMM$pseudores()

hmmTMB 1.1.1 (2025-09-11)

• Add error message for laplace = TRUE in HMM$fit_stan()
• Add reference to JSS paper

hmmTMB 1.1.0 (2025-06-24)

• 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 (2023-10-24)

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