Man pages for lava
Latent Variable Models
| addvar | Add variable to (model) object |
| backdoor | Backdoor criterion |
| baptize | Label elements of object |
| binomial.rd | Define constant risk difference or relative risk association... |
| 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 |
| c.estimate | Concatenate estimate objects |
| 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 |
| commutation | Finds the unique commutation matrix |
| compare | Statistical tests |
| complik | Composite Likelihood for probit latent variable models |
| confband | Add Confidence limits bar to plot |
| confint.lvmfit | Calculate confidence limits for parameters |
| confpred | Conformal prediction |
| constrain-set | Add non-linear constraints to latent variable model |
| contr | Create contrast matrix |
| correlation | Generic method for extracting correlation coefficients of... |
| covariance | Add covariance structure to Latent Variable Model |
| csplit | Split data into folds |
| c.summary.estimate | Concatenate summary.estimate objects |
| curly | Adds curly brackets to plot |
| deprdiag | 50 patients from Monash Medical Centre, Melbourne |
| devcoords | Returns device-coordinates and plot-region |
| diagtest | Calculate diagnostic tests for 2x2 table |
| dsep.lvm | Check d-separation criterion |
| equivalence | Identify candidates of equivalent models |
| estimate.array | Estimate parameters and influence function. |
| estimate.default | Influence function based inference |
| estimate.formula | Estimate method for formulas |
| estimate.glm | Estimate method for GLM objects |
| estimate.list | Estimate method for lists |
| estimate.lvm | Estimation of parameters in a Latent Variable Model (lvm) |
| estimate-subset | Subset parameter of estimate object |
| eventTime | Add an observed event time outcome to a latent variable... |
| Expand | Create a Data Frame from All Combinations of Factors |
| expectation | Mean of (estimated) function via g-computation |
| fplot | fplot |
| getSAS | Read SAS output |
| gof | Extract model summaries and GOF statistics for model object |
| Graph | Extract graph |
| Grep | Finds elements in vector or column-names in data.frame/matrix |
| hubble | Hubble data |
| hubble2 | Hubble data |
| IC.default | Extract influence function from model object |
| iid | Extract i.i.d. decomposition from model object |
| images | Organize several image calls (for visualizing categorical... |
| index-lvm | Extract the parameter indicies of a lvm object |
| index-method | Generic method for extract index of an object |
| indoorenv | Data |
| information | Extract information matrix |
| intercept | Fix mean parameters in 'lvm'-object |
| internal | For internal use |
| intervention.lvm | Define intervention |
| Inverse | Generalized matrix inverse |
| ksmooth2 | Plot/estimate surface |
| labels-set | Define labels of graph |
| lava.options | Set global options for 'lava' |
| lava-package | lava: Latent Variable Models |
| lvm | Initialize new latent variable model |
| makemissing | Create random missing data |
| measurement_error | Two-stage (non-linear) measurement error |
| merge.estimate | Merge estimate objects |
| Missing | Missing value generator |
| missingdata | Missing data example |
| mixture | Estimate mixture latent variable model. |
| Model | Extract model |
| modelsearch | Model searching |
| multinomial | Estimate probabilities in contingency table |
| mvnmix | Estimate mixture latent variable model |
| NA2x | Convert to/from NA |
| na.pass0 | Handle Missing Values in Objects |
| nldata | Example data (nonlinear model) |
| normcdf | Normal distribution |
| NR | Newton-Raphson method |
| nsem | Example SEM data (nonlinear) |
| op_concat | Concatenation operator |
| op_match | Matching operator (x not in y) oposed to the '%in%'-operator... |
| ordinal-set | Define variables as ordinal |
| ordreg | Univariate cumulative link regression models |
| pairwise_diff | Pairwise parameter differences |
| parpos | Generic method for finding indeces of model parameters |
| partialcor | Calculate partial correlations |
| path | Extract pathways in model graph |
| pcor | Polychoric correlation |
| PD | Dose response calculation for binomial regression models |
| pdfconvert | Convert pdf to raster format |
| plotConf | Plot regression lines |
| plot.estimate | Plot method for 'estimate' objects |
| plot.lvm | Plot path diagram |
| plot.sim | Plot method for simulation 'sim' objects |
| predict_glm | Predict from a GLM with modified coefficients |
| predictlvm | Predict function for latent variable models |
| predict.lvm | Prediction in structural equation models |
| Generic print method | |
| Range.lvm | Define range constraints of parameters |
| rbind.Surv | Appending 'Surv' objects |
| regression-set | Add regression association to latent variable model |
| revdiag | Create/extract 'reverse'-diagonal matrix or off-diagonal... |
| rmvar | Remove variables from (model) object. |
| rotate2 | Performs a rotation in the plane |
| scheffe | Calculate simultaneous confidence limits by Scheffe's method |
| score | Extract score function |
| semdata | Example SEM data |
| serotonin | Serotonin data |
| sim.default | Monte Carlo simulation |
| sim.lvm | Simulate model |
| spaghetti | Spaghetti plot |
| stack.estimate | Stack estimating equations |
| subset.lvm | Extract subset of latent variable model |
| summary.estimate | Summary of estimate objects |
| summary.sim | Summary method for 'sim' objects |
| timedep | Time-dependent parameters |
| toformula | Converts strings to formula |
| tr | Trace operator |
| trim | Trim string of (leading/trailing/all) white spaces |
| twindata | Twin menarche data |
| twostage | Two-stage estimator |
| twostageCV | Cross-validated two-stage estimator |
| twostage.lvmfit | Two-stage estimator (non-linear SEM) |
| var_ic | Variance based on influence function |
| vars | Extract variable names from latent variable model |
| vec | vec operator |
| wait | Wait for user input (keyboard or mouse) |
| wkm | Weighted K-means |
| wrapvec | Wrap vector |
| zibreg | Regression model for binomial data with unkown group of... |
