Dist                    R6 class for probability distribution
Forecast                R6 Class for Forecast in Hidden Markov Models
HMM                     R6 class for hidden Markov model
MarkovChain             R6 class for HMM hidden process model
Observation             R6 class for HMM observation model
as_character_formula    Read formula with as.character without
                        splitting
as_sparse               Transforms matrix to dgTMatrix
bdiag_check             Create block diagonal matrix (safe version)
check_contiguous        Check values in vector are contiguous
check_smooths           Check that only supported smooths are used
cov_grid                Grid of covariates
cov_grid_2d             Grid of covariate values over two covariates
cov_names_in_data       Covariate names that are columns of the data
dvm                     Density function of von Mises distribution
dwrpcauchy              Density function of wrapped Cauchy distribution
find_re                 Find s(, bs = "re") terms in formula
gam_shell               Shell gam object for building prediction
                        matrices
gdeterminant            Generalized matrix determinant
hmmTMB_cols             hmmTMB colour palette
invmlogit               Multivarite inverse logit function
is_whole_number         Check if number of whole number
logLik.HMM              logLik function for SDE objects
logsumexp               Log of sum of exponentials
make_cov                Make covariance matrix from standard deviations
                        and correlations
make_formulas           Process formulas and store in nested list
make_matrices           Create model matrices
mlogit                  Multivariate logit function
mvnorm_invlink          Multivariate Normal inverse link function
mvnorm_link             Multivariate Normal link function
na_fill                 Fill in NAs
prec_to_cov             Get covariance matrix from precision matrix
quad_pos_solve          Solve for positive root of quadratic ax^2 + bx
                        + c = 0 when it exists
rmvn_prec               Sample from a multivariate normal given its
                        precision matrix
rvm                     Sample from von Mises distribution
rwrpcauchy              Sample from wrapped Cauchy distribution
smooth.construct.spde.smooth.spec
                        Matern SPDE smooth
spde_extent             A length scale for the meshed domain, for
                        starting values
spde_loc                Observation locations for an SPDE smooth
spde_mesh_1d            Default mesh for a one-dimensional SPDE smooth
strip_comments          Strip comments marked with a hash from a
                        character vector
update.HMM              Update a model to a new model by changing one
                        formula
