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| addInter | Add interactions |
| add_variable | 'add_variable' adds columns to the data matrix |
| AICc | Adjusted Akaike's Information Criterion. |
| AICc.default | Adjusted Akaike's Information Criterion. |
| AICc.nmm | Adjusted Akaike's Information Criterion. |
| BIC.nmm | Adjusted Akaike's Information Criterion. |
| 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. |
| formula2string | 'formula2string' removes square brackets from the supplied expressions. Convert par[2] -> par2, sigma[2] -> sigma_2_, sigma[2,3] -> sigma_2x2 |
| f_create | 'f_create' creates functions for log-likelihood of different models. |
| 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. |
| MAEDtimeExpenditure | Time-use and expenditure dataset |
| MAEDtravel | Trip dataset |
| 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. |
| MNdogitf | 'MNlogitf' or 'MNdogitf' returns log-likelihood(LL) expression for discrete equations of "logit" or "dogit" model. |
| MNlogitf | 'MNlogitf' or 'MNdogitf' returns log-likelihood(LL) expression for discrete equations of "logit" or "dogit" model. |
| nmm | Maximum likelihood estimation of nonlinear multivariate models (NMM). |
| nmm_sigma | 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 |
| summary.nmm | Maximum likelihood estimation of nonlinear multivariate models (NMM). |
| wxMaxima | 'wxMaxima' does symbolic computation in 'Maxima' Requires installation of Maxima software. |