AICc                    Adjusted Akaike's Information Criterion.
MAEDtimeExpenditure     Time-use and expenditure dataset
MAEDtravel              Trip dataset
MNlogitf                'MNlogitf' or 'MNdogitf' returns
                        log-likelihood(LL) expression for discrete
                        equations of "logit" or "dogit" model.
addInter                Add interactions
add_variable            'add_variable' adds columns to the data matrix
cond_expr               'cond_expr' returns moments of conditional
                        multivariate normal distribution X|Y (last
                        variable is dependent). Only expression for
                        X|Y. Requires installation of Maxima software.
cont_stats              Goodness of fit measures
convert_attr2exp        'convert_attr2exp' converts symbolic attribute
                        of derivative into expression object.
dat4cond_mean_cov_expr
                        Log-likelihood expressions for cont. equations
                        plus 1 discrete
dataM                   Example dataset
datmaxle                Log-likelihood expressions for cont. equations
datmlsem                Log-likelihood expressions for cont. equations
                        sem
diagnostics             Goodness of fit measures for both parts
expr_ll_norm            Log-likelihood expressions for cont. equations
expr_ll_norm_v2         Another Log-likelihood expressions for cont.
                        equations version 2
extract_attr_deriv      'extract_attr_deriv' converts
                        attributes(hessian/gradient) of 'deriv()' into
                        a matrix of character strings.
f_create                'f_create' creates functions for log-likelihood
                        of different models.
formula2string          'formula2string' removes square brackets from
                        the supplied expressions. Convert par[2] ->
                        par2, sigma[2] -> sigma_2_, sigma[2,3] ->
                        sigma_2x2
get_npar                'get_npar' Get number of parameters or vector
                        of parameters in supplied equations. Extracts
                        the number of parameters used in equations.
                        Parameters are given as par[1], ..., par[n].
get_par                 'get_par' replaces names of parameters with
                        par[i].
get_start               'get_start' get starting values for discrete or
                        continuous choice model.
grad_hess_eval          'grad_hess_eval' forms function of gradient and
                        Hessian of log-likelihood produced by
                        'f_create'.
in2nmm                  'in2nmm' convert some estimation results into
                        'nmm' object.
logLik.nmm              Log-likelihood(LL) with supplied coefficients.
maxle                   'maxle' returns expression of log-likelihood
                        (LL) of joint normal distribution.
maxle_p                 'maxle_p' returns expression of partitioned
                        log-likelihood.
                        f(y1,y2,..,yn)=f(y1)f(y2|y1)f(y3|y2y1)...f(yn|y1..y(n-1))
mlsem                   'mlsem' returns expression of log-likelihood
                        for joint normal distribution, for maximum
                        likelihood (ML), Simultaneous Equations Models
                        (SEM) variant.
nmm                     Maximum likelihood estimation of nonlinear
                        multivariate models (NMM).
prepare_data            'prepare_data' prepare data for the estimation.
pseudoR                 pseudo R^2
replace_par             'replace_par' replaces text with other text.
replace_par_wrap        'replace_par_wrap' replace text with other
                        text, wrapper of 'replace_par'.
stats_function          Helper functions
string2formula          'string2formula' add square brackets to
                        expressions. Reverse of formula2string. Convert
                        par[2] <- par2, sigma[2] <- sigma_2_,
                        sigma[2,3] <- sigma_2x2
wxMaxima                'wxMaxima' does symbolic computation in
                        'Maxima' Requires installation of Maxima
                        software.
