Man pages for jeksterslabds/jeksterslabRds
Jekster's Lab Data Science and Statistics
| achievement | Teacher Expectancies on Student Achievement |
| alienation | Stability of Alienation |
| boot_fit | Fit Model on Bootstrap Resamples |
| boot_lav | Bootstrap SEM Parameter Estimates |
| boot_nb | Nonparametric Bootstrap |
| boot_pb | Parametric Bootstrap |
| boot_pb_med_simple | Parametric Bootstrap (Simple Mediation Model) |
| boot_pb_vm | Parametric Bootstrap VM |
| ci_bc | Bias Corrected Confidence Intervals |
| ci_bca | Bias-Corrected and Accelerated Confidence Intervals |
| ci_hit | CI hit |
| ci_quantile | Quantile Confidence Intervals |
| ci_shape | CI shape |
| ci_wald | Wald Confidence Intervals |
| ci_width | CI width |
| cor2cov | Correlation to Covariance |
| dat_med_serial2 | Serial Mediation Model Data |
| dat_med_simple_lat | Simple Mediation Model Using Latent Variables Data |
| eqs | EQS (Bentler-Weeks) |
| eqs_mu | EQS mu (Bentler-Weeks) |
| galton | Galton's Height Data |
| gd | Gradient Descent. |
| gd_delta | Delta |
| gd_e | Prediction errors |
| gd_z | Predictions |
| gendat | Generate Random Data. |
| gendat_linreg | Generate Random Data From a Linear Regression Model. |
| gendat_linreg_X | Generate Data Matrix (X) From a Linear Regression Model. |
| gendat_linreg_y | Generate Regressand Data (y) From a Linear Regression Model. |
| gendat_logreg | Generate Data Based on the Logistic Regression Model. |
| gendat_med_simple | Generate Simple Mediation Model Data |
| gendat_mvn | Generate Multivariate Normal Data. |
| gendat_mvn_a | Generate Multivariate Normal Data from the A Matrix and... |
| gendat_mvn_fe | Generate Multivariate Normal Data from Variance-Covariance... |
| gendat_mvn_ram | Generate Multivariate Normal Data from RAM Matrices |
| gendat_percep | Generate Linearly Separable Data Based on the Perceptron... |
| gendat_vm | Generate Nonnormal Data Using the Vale and Maurelli (1983)... |
| heights | Mothers' and daughters' Heights |
| inv_logit | Sigmoid or Logistic Function |
| is.positive.definite | Positive Definite |
| is.singular.matrix | Singular Matrix |
| kurtosis | Kurtosis |
| laplace_negll | Laplace (-LL) |
| lav | Generic SEM Fit Function |
| lin | Linear Function |
| linreg | Linear Regression. |
| linreg_anova | Linear Regression (ANOVA) |
| linreg_e | Linear Regression Residuals |
| linreg_ess | Linear Regression Explained Sum of Squares. |
| linreg_h | Linear Regression Hat Matrix |
| linreg_inv | Linear Regression Coefficients (Inverse of X). |
| linreg_m | Linear Regression (M) |
| linreg_mse | Linear Regression Mean Square Error. |
| linreg_negll | Linear Regression (-LL). |
| linreg_ols | Linear Regression (OLS). |
| linreg_optim | Linear Regression (Optimization). |
| linreg_qr | Linear Regression Coefficients (QR Decomposition). |
| linreg_r2 | Linear Regression (R-square) |
| linreg_rbar2 | Linear Regression (Adjusted R-square) |
| linreg_rmse | Linear Regression Root Mean Square Error. |
| linreg_rss | Linear Regression Residual Sum of Squares. |
| linreg_s2 | Linear Regression Residual Variance |
| linreg_svd | Linear Regression Coefficients (Singular Value... |
| linreg_tss | Linear Regression Total Sum of Squares. |
| linreg_vcov | Linear Regression (variance-covariance of OLS estimates) |
| linreg_yhat | Linear Regression (y hat) |
| lisrel | LISREL Structural Equations with Latent Variables. |
| lisrel_fa | LISREL Structural Equations with Latent Variables (Factor... |
| lisrel_mat | LISREL Matrices |
| lisrel_obs | LISREL Structural Equations with Observed Variables. |
| lisrel_obs_xy | LISREL Structural Equations with Observed Variables (xy) |
| lisrel_obs_yx | LISREL Structural Equations with Observed Variables (yx) |
| lisrel_obs_yy | LISREL Structural Equations with Observed Variables (yy) |
| lisrel_residual | Lisrel Residuals |
| lisrel_xx | LISREL Structural Equations with Latent Variables (xx). |
| lisrel_xy | LISREL Structural Equations with Latent Variables (xy). |
| lisrel_yx | LISREL Structural Equations with Latent Variables (yx). |
| lisrel_yy | LISREL Structural Equations with Latent Variables (yy). |
| logreg | Logistic Regression |
| logreg_negll | Logistic Regression (-LL). |
| logreg_optim | Logistic regression (Optimization). |
| low2sym | Lower Triangle to Symmetric |
| m4 | Fourth Central Moment |
| med_serial2 | Serial Mediation Model with Two Mediators |
| med_serial2_lav | Serial Mediation Model with Two Mediators (lavaan) |
| med_serial2_ml | Serial Mediation Model with Two Mediators (optim) |
| med_serial3 | Serial Mediation Model with Three Mediators |
| med_serial3_lav | Serial Mediation Model with Three Mediators (lavaan) |
| med_serial3_ml | Serial Mediation Model with Three Mediators (optim) |
| med_simple | Simple Mediation Model |
| med_simple_lav | Simple Mediation Model (lavaan) |
| med_simple_lav_lat | Standardized Simple Mediation Model (lavaan) |
| med_simple_ml | Simple Mediation Model (optim) |
| moment | Central Moment |
| opt | Estimation via Optimization |
| quad | Solve Quadratic Equation |
| ram | RAM |
| ram_m | RAM M |
| ram_mu | RAM mu |
| ram_residuals | RAM Residuals |
| ram_s | RAM Sigma/S |
| relu | Rectified Linear Unit Function |
| sem_e | SEM (Residuals) |
| sem_fa | Structural Equations with Latent Variables (Factor Analysis). |
| sem_fgls | Generalized Least Squares Objective Function |
| sem_fml | Maximum Likelihood Objective Function |
| sem_fuls | Unweighted Least Squares Objective Function |
| sem_lat | Structural Equations with Latent Variables |
| sem_log_h0 | SEM (Loglikelihood H0) |
| sem_log_h1 | SEM (Loglikelihood H1) |
| sem_neg2ll | SEM (-2 Loglikelihood) |
| sem_obs | Structural Equations with Observed Variables |
| sem_r2 | SEM (R square) |
| tr | Trace of a square matrix |
| up2sym | Upper Triangle to Symmetric |
| vech2tri | Vector to Triangular Matrix |
| wages | Wages of Workers |
| wages2 | Wages of Youth |
| water | Effects of Temperature on Water Consumption |
| z | Calculate z-scores |
| zero_hit | Zero Hit |
