| AIC_psem | Information criterion values for SEM |
| AIC.psem | Generic function for SEM AIC(c) score |
| all_vars_merMod | Remove random effects from all.vars |
| all_vars_notrans | Get vector of untransformed variables |
| all_vars_trans | Get vector of transformed variables |
| anovaLRT | Chi-square difference test |
| anova.psem | ANOVA and chi-squared difference test for model comparison |
| anovaTable | Single anova |
| as.psem | Convert list to psem object |
| basisSet | Derivation of the basis set |
| captureTable | Captures output table |
| cbind_fill | Bind data.frames of differing dimensions |
| cerror | Correlated errors |
| checkData | Check to see whether supplied data.frame matches... |
| checkTransformations | Check to see whether variables exist as transformed and... |
| coefs | Extract path coefficients |
| dataTrans | Transform variables based on model formula and store in new... |
| dSep | Tests of directed separation |
| dupOutput | Identify duplicate output |
| evaluateClasses | Evaluate model classes and stop if unsupported model class |
| filterExisting | Remove existing paths from the basis set |
| filterExogenous | Filter relationships among exogenous variables from the basis... |
| filterInteractions | Filter interactions from the d-sep tests |
| filterSmoothed | First, remove claims where linear and non-linear terms appear... |
| findbars.lme | Get random effects from lme |
| fisherC | Summarize tests of directed separation using Fisher's C... |
| fixCatDir | Flip independence claims so categorical variables are not the... |
| formatpsem | Format for psem |
| getAnova | Get ANOVA results from 'merMod' |
| getCoefficients | Get coefficients from linear regression |
| getDAG | Generate adjacency matrix from list of structural equations |
| GetData | Get data from model list |
| getLHS | Get Left-hand side of formulae |
| GetOLRE | Obtain (observation-level) random effects from a generalized... |
| getResidModels | Identify models with correlated errors and return modified... |
| get_response | Get Response Name as a Character |
| getRHS | Get Right-hand side of formulae |
| getSatModels | Get saturated model by reinserting all excluded paths |
| GetSDx | Get standard deviation of predictor variables |
| GetSDy | Properly scale standard deviations depending on the error... |
| GetSingleData | Get data from one model |
| getSortedPsem | Get a sorted psem object in DAG order |
| GetVarCov | Get random effects variance-covariance from lme |
| grapes-not_in-grapes | Operator for non-overlap in sets |
| grapes-twiddle-twiddle-grapes | Correlated error operator |
| handleCategoricalCoefs | Handles putting categorical variables into coefficient tables... |
| import | Functions to import from dependencies |
| isSig | Assess significance |
| keeley | Data set from Grace & Keeley (2006) |
| listFormula | Recompute P-values using Kenward-Rogers approximation |
| LLchisq | Generalized chi-squared for piecewise SEM |
| meadows | Data set from Grace & Jutila (1999) |
| multigroup | Multigroup Analysis for Piecewise SEM |
| nObs | Get number of observations from a model |
| onlyBars | Get random effects from merMod |
| partialCorr | Calculate partial correlations from partial residuals |
| partialResid | Computing partial effects |
| piecewiseSEM-package | The 'piecewiseSEM' package |
| plot.psem | Plotting of Piecewise Structural Equation Models |
| print.anova.psem | Print anova |
| print.attr | Do not print attributes with custom functions |
| print.basisSet | Print basis set |
| print.multigroup.psem | Print multigroup |
| print.psem | Print psem |
| print.summary.psem | Print summary |
| psem | Fitting piecewise structural equation models |
| removeCerror | Remove correlated errors from the basis set |
| removeData | Remove data from the model list |
| resid.lme | Get residuals from innermost grouping of mixed models... |
| residuals.psem | Residual values from fit models |
| reverseAddVars | Replace transformations in the basis set by cycling through... |
| reverseNonLin | If intermediate endogenous variables are nonlinear, return... |
| rsquared | R-squared for linear regression |
| rsquared.gam | R^2 for gam objects |
| rsquared.glm | R^2 for glm objects |
| rsquared.glmerMod | R^2 for glmer objects |
| rsquared.glmmPQL | R^2 for glmmPQL objects |
| rsquared.gls | R^2 for gls objects |
| rsquared.lm | R^2 for lm objects |
| rsquared.lme | R^2 for lme objects |
| rsquared.merMod | R^2 for phylolm objects |
| rsquared.negbin | R^2 for negbin objects |
| rsquared.Sarlm | R^2 for Sarlm objects |
| scaleGLM | Compute standard deviation or relevant range of response for... |
| scaleInt | Calculate standard deviation or relevant range for... |
| shipley | Data set from Shipley (2006) |
| sortDag | Sort DAG based on ancestry |
| specifyDir | Remove duplicate items from the basis set whose direction is... |
| stdCoefs | Calculate standardized regression coefficients |
| stop_psem | Stop function for unsupported methods |
| stripTransformations | Strip transformations |
| summary.psem | Summarizing piecewise structural equation models |
| testBasisSetElements | Evaluate conditional independence claim from the basis set |
| unstdCoefs | Get raw (undstandardized) coefficients from model |
| update.psem | Update psem model object with additional values. |
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