buildSmoothDens         Build the design and penalty matrices for
                        smooth density estimation
calc_trackInd           Calculate the index of the first observation of
                        each track based on an ID variable
dgmrf2                  Reparametrised multivariate Gaussian
                        distribution
dirichlet               Dirichlet distribution
forward                 Forward algorithm with homogeneous transition
                        probability matrix
forward_g               General forward algorithm with time-varying
                        transition probability matrix
forward_hsmm            Forward algorithm for homogeneous hidden
                        semi-Markov models
forward_ihsmm           Forward algorithm for hidden semi-Markov models
                        with inhomogeneous state durations and/ or
                        conditional transition probabilities
forward_p               Forward algorithm with for periodically varying
                        transition probability matrices
forward_phsmm           Forward algorithm for hidden semi-Markov models
                        with periodically inhomogeneous state durations
                        and/ or conditional transition probabilities
forward_s               Forward algorithm for hidden semi-Markov models
                        with homogeneous transition probability matrix
forward_sp              Forward algorithm for hidden semi-Markov models
                        with periodically varying transition
                        probability matrices
gamma2                  Reparametrised gamma distribution
gdeterminant            Computes generalised determinant
generator               Build the generator matrix of a continuous-time
                        Markov chain
make_matrices           Build the design matrix and the penalty matrix
                        for models involving penalised splines based on
                        a formula and a data set
make_matrices_dens      Build a standardised P-Spline design matrix and
                        the associated P-Spline penalty matrix
nessi                   Loch Ness Monster Acceleration Data
penalty                 Computes penalty based on quadratic form
pred_matrix             Build the prediction design matrix based on new
                        data and model_matrices object created by
                        'make_matrices'
pseudo_res              Calculate pseudo-residuals
pseudo_res_discrete     Calculate pseudo-residuals for discrete-valued
                        observations
qreml                   Quasi restricted maximum likelihood (qREML)
                        algorithm for models with penalised splines or
                        simple i.i.d. random effects
sdreportMC              Monte Carlo version of 'sdreport'
skewnorm                Skew normal distribution
stateprobs              Calculate conditional local state probabilities
                        for homogeneous HMMs
stateprobs_g            Calculate conditional local state probabilities
                        for inhomogeneous HMMs
stateprobs_p            Calculate conditional local state probabilities
                        for periodically inhomogeneous HMMs
stationary              Compute the stationary distribution of a
                        homogeneous Markov chain
stationary_cont         Compute the stationary distribution of a
                        continuous-time Markov chain
stationary_p            Compute the periodically stationary
                        distribution of a periodically inhomogeneous
                        Markov chain
stationary_p_sparse     Sparse version of 'stationary_p'
stationary_sparse       Sparse version of 'stationary'
tpm                     Build the transition probability matrix from
                        unconstrained parameter vector
tpm_cont                Calculate continuous time transition
                        probabilities
tpm_emb                 Build the embedded transition probability
                        matrix of an HSMM from unconstrained parameter
                        vector
tpm_emb_g               Build all embedded transition probability
                        matrices of an inhomogeneous HSMM
tpm_g                   Build all transition probability matrices of an
                        inhomogeneous HMM
tpm_hsmm                Builds the transition probability matrix of an
                        HSMM-approximating HMM
tpm_hsmm2               Build the transition probability matrix of an
                        HSMM-approximating HMM
tpm_ihsmm               Builds all transition probability matrices of
                        an inhomogeneous-HSMM-approximating HMM
tpm_p                   Build all transition probability matrices of a
                        periodically inhomogeneous HMM
tpm_phsmm               Builds all transition probability matrices of
                        an periodic-HSMM-approximating HMM
tpm_phsmm2              Build all transition probability matrices of an
                        periodic-HSMM-approximating HMM
tpm_thinned             Compute the transition probability matrix of a
                        thinned periodically inhomogeneous Markov
                        chain.
trex                    T-Rex Movement Data
trigBasisExp            Compute the design matrix for a trigonometric
                        basis expansion
viterbi                 Viterbi algorithm for state decoding in
                        homogeneous HMMs
viterbi_g               Viterbi algorithm for state decoding in
                        inhomogeneous HMMs
viterbi_p               Viterbi algorithm for state decoding in
                        periodically inhomogeneous HMMs
vm                      von Mises distribution
wrpcauchy               wrapped Cauchy distribution
