Flexible Maximum Likelihood Regression with Gradient-Based
Optimisation
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Documentation for package ‘xreg2’ version 0.1.4
Help Pages
| AIC.xreg2 | AIC for an xreg2 Model |
| ARE | Average Relative Error |
| ARE.data.frame | Average Relative Error |
| ARE.matrix | Average Relative Error |
| ARE.numeric | Average Relative Error |
| ARE_conform | Average Relative Error |
| BIC.xreg2 | BIC for an xreg2 Model |
| c.xreg2Control | Combine xreg2 Control Objects |
| c.xreg2ControlList | Combine xreg2 Control Objects |
| combmean | Combined mean of two groups |
| combmeans | Combined mean of multiple groups |
| combmssds | Combined mean, SD and n for multiple groups |
| combsd | Combined standard deviation of two groups |
| combsds | Combined SD of multiple groups |
| comp_table | Comparison Table |
| erMAX | Maximum Absolute Relative Error |
| erMAX.data.frame | Maximum Absolute Relative Error |
| erMAX.matrix | Maximum Absolute Relative Error |
| erMAX.numeric | Maximum Absolute Relative Error |
| fisher_icc | Fisher's ICC |
| fisher_icc.data.frame | Fisher's ICC |
| fisher_icc.matrix | Fisher's ICC |
| fisher_icc.numeric | Fisher's ICC |
| fixdist | Standardise Distribution Name |
| getd | Get Distribution Function |
| getf | Get Distribution Function |
| getMean | Mean of a distribution |
| getp | Get Distribution Function |
| getq | Get Distribution Function |
| getr | Get Distribution Function |
| getSD | Standard deviation of a distribution |
| getVar | Variance of a distribution |
| is.wholenumber | Test for Whole Number |
| just_CCC | Lin's CCC (simplified) |
| just_CCC.data.frame | Lin's CCC (simplified) |
| just_CCC.matrix | Lin's CCC (simplified) |
| just_CCC.numeric | Lin's CCC (simplified) |
| LCCC | Lin's Concordance Correlation Coefficient |
| MAE | Mean Absolute Error |
| MAE.data.frame | Mean Absolute Error |
| MAE.matrix | Mean Absolute Error |
| MAE.numeric | Mean Absolute Error |
| MAPE | Mean Absolute Relative Error (MARE / MAPE) |
| MARE | Mean Absolute Relative Error (MARE / MAPE) |
| MARE.data.frame | Mean Absolute Relative Error (MARE / MAPE) |
| MARE.matrix | Mean Absolute Relative Error (MARE / MAPE) |
| MARE.numeric | Mean Absolute Relative Error (MARE / MAPE) |
| MBE | Mean Bias Error |
| MBE.data.frame | Mean Bias Error |
| MBE.matrix | Mean Bias Error |
| MBE.numeric | Mean Bias Error |
| ordD | Order Statistic Density |
| ordE | Order Statistic Expected Value |
| ordEp | Order Statistic Expected Probabilities |
| predict.xreg2 | Predict from an xreg2 Model |
| print.xreg2 | Print an xreg2 Model |
| pRMSE | Root Mean Square Error |
| quant_fun | Quantile Summary |
| quant_funs | Quantile Summaries (Matrix) |
| quant_funst | Transposed Quantile Summaries (Matrix) |
| quant_funs_groups | Quantile Summaries by Group |
| quant_fun_groups | Quantile Summaries by Group |
| ReMSE | Relative Mean Squared Error |
| ReMSE.data.frame | Relative Mean Squared Error |
| ReMSE.matrix | Relative Mean Squared Error |
| ReMSE.numeric | Relative Mean Squared Error |
| ReMSE_conform | Relative Mean Squared Error |
| RMSE | Root Mean Square Error |
| RMSE.data.frame | Root Mean Square Error |
| RMSE.matrix | Root Mean Square Error |
| RMSE.numeric | Root Mean Square Error |
| RMSRE | Root Mean Square Relative Error |
| RMSRE.data.frame | Root Mean Square Relative Error |
| RMSRE.matrix | Root Mean Square Relative Error |
| RMSRE.numeric | Root Mean Square Relative Error |
| rRMSE | Root Mean Square Error |
| summary.xreg2 | Summarise an xreg2 Model |
| tstat | t-Statistic |
| tstat.data.frame | t-Statistic |
| tstat.matrix | t-Statistic |
| tstat.numeric | t-Statistic |
| t_test2 | Two-Sample t-Test from Summary Statistics |
| U95 | Uncertainty at 95 Percent |
| U95.data.frame | Uncertainty at 95 Percent |
| U95.matrix | Uncertainty at 95 Percent |
| U95.numeric | Uncertainty at 95 Percent |
| xreg2_cont | General Continuous Negative Log-Likelihood |
| xreg2_control | Create xreg2 Control Object |
| xreg2_cont_normal | Continuous Normal Negative Log-Likelihood |
| xreg2_cont_r_lnorm | Continuous Log-Normal Negative Log-Likelihood with Random Intercept |
| xreg2_cont_r_normal | Continuous Normal Negative Log-Likelihood with Random Intercept |
| xreg2_dich_logistic | Dichotomous Logistic Negative Log-Likelihood |
| xreg2_fit | Fit xreg2 Model |
| xreg2_fit_s | Fit xreg2 Model from Pre-Structured Data |
| xreg2_hyreg | Hybrid Regression (xreg2 version) |
| xreg2_optim | Optimise an xreg2 Model |