| addvar | Add variable to (model) object |
| baptize | Label elements of object |
| blockdiag | Combine matrices to block diagonal structure |
| bmd | Longitudinal Bone Mineral Density Data (Wide format) |
| bmidata | Data |
| bootstrap | Generic bootstrap method |
| bootstrap.lvm | Calculate bootstrap estimates of a lvm object |
| brisa | Simulated data |
| By | Apply a Function to a Data Frame Split by Factors |
| calcium | Longitudinal Bone Mineral Density Data |
| cancel | Generic cancel method |
| children | Extract children or parent elements of object |
| click | Identify points on plot |
| closed.testing | Closed testing procedure |
| Col | Generate a transparent RGB color |
| colorbar | Add color-bar to plot |
| Combine | Report estimates across different models |
| compare | Statistical tests Performs Likelihood-ratio, Wald and score... |
| confband | Add Confidence limits bar to plot |
| confint.lvmfit | Calculate confidence limits for parameters |
| constrain-set | Add non-linear constraints to latent variable model |
| correlation | Generic method for extracting correlation coefficients of... |
| covariance | Add covariance structure to Latent Variable Model |
| curereg | Regression model for binomial data with unkown group of... |
| devcoords | Returns device-coordinates and plot-region |
| dsort | Sort data frame |
| equivalence | Identify candidates of equivalent models |
| estimate.default | Estimation of functional of parameters |
| estimate.lvm | Estimation of parameters in a Latent Variable Model (lvm) |
| eventTime | Add an observed event time outcome to a latent variable... |
| Expand | Create a Data Frame from All Combinations of Factors |
| getMplus | Read Mplus output |
| getSAS | Read SAS output |
| gof | Extract model summaries and GOF statistics for model object |
| Graph | Extract graph |
| hubble | Hubble data |
| hubble2 | Hubble data |
| iid | Extract i.i.d. decomposition (influence function) from model... |
| images | Organize several image calls (for visualizing categorical... |
| indoorenv | Data |
| intercept | Fix mean parameters in 'lvm'-object |
| internal | For internal use |
| kill | Remove variables from (model) object. |
| ksmooth2 | Plot/estimate surface |
| labels-set | Define labels of graph |
| lava.options | Set global options for 'lava' |
| lava-package | Estimation and simulation of latent variable models |
| lvm | Initialize new latent variable model |
| makemissing | Create random missing data |
| Missing | Missing value generator |
| missingdata | Missing data example |
| Model | Extract model |
| modelsearch | Model searching |
| multinomial | Estimate probabilities in contingency table |
| nldata | Example data (nonlinear model) |
| nsem | Example SEM data (nonlinear) |
| op_concat | Concatenation operator |
| op_match | Matching operator (x not in y) oposed to the '%in%'-operator... |
| ordreg | Univariate cumulative link regression models |
| org | Convert object to ascii suitable for org-mode |
| parpos | Generic method for finding indeces of model parameters |
| partialcor | Calculate partial correlations |
| path | Extract pathways in model graph |
| PD | Dose response calculation for binomial regression models |
| pdfconvert | Convert pdf to raster format |
| plotConf | Plot regression lines |
| plot.lvm | Plot path diagram |
| predict.lvm | Prediction in structural equation models |
| Range.lvm | Define range constraints of parameters |
| regression-set | Add regression association to latent variable model |
| revdiag | Create/extract 'reverse'-diagonal matrix |
| scheffe | Calculate simultaneous confidence limits by Scheffe's method |
| semdata | Example SEM data |
| serotonin | Serotonin data |
| serotonin2 | Data |
| sim | Simulate model |
| stack.estimate | Stack estimating equations |
| subset.lvm | Extract subset of latent variable model |
| timedep | Time-dependent parameters |
| toformula | Converts strings to formula |
| tr | Trace operator |
| trim | Trim tring of (leading/trailing/all) white spaces |
| twindata | Twin menarche data |
| vars | Extract variable names from latent variable model |
