| gremlin-package | Mixed-Effects REML Incorporating Generalized Inverses |
| ai | REML optimization algorithms for mixed-effect models. |
| AIC.gremlin | Methods to extract log-likelihood and information criterion of a gremlin model. |
| anova.gremlin | anova() for gremlin objects |
| conTrans | (Co)variance parameter transformations. |
| covFun | (Co)variance parameter transformations. |
| deltaSE | Delta Method to Calculate Standard Errors for Functions of (Co)variances. |
| deltaSE.default | Delta Method to Calculate Standard Errors for Functions of (Co)variances. |
| deltaSE.formula | Delta Method to Calculate Standard Errors for Functions of (Co)variances. |
| deltaSE.list | Delta Method to Calculate Standard Errors for Functions of (Co)variances. |
| em | REML optimization algorithms for mixed-effect models. |
| fixed.effects | Fixed Effect Estimates of 'class' 'gremlin' |
| fixef | Fixed Effect Estimates of 'class' 'gremlin' |
| fixef.gremlin | Fixed Effect Estimates of 'class' 'gremlin' |
| getCall.gremlin | Mixed-effect modeling functions. |
| gradFun | REML optimization algorithms for mixed-effect models. |
| gremlin | Mixed-effect modeling functions. |
| gremlinControl | Advanced Options for Mixed-effect modeling functions. |
| gremlinR | Mixed-effect modeling functions. |
| gremlinSetup | Mixed-effect modeling functions. |
| is.gremlin | Mixed-effect modeling functions. |
| is.grMod | Mixed-effect modeling functions. |
| logLik.gremlin | Methods to extract log-likelihood and information criterion of a gremlin model. |
| matlist2vech | (Co)variance parameter transformations. |
| mkModMats | Mixed-effect modeling functions. |
| Mrode11 | Weight gain data. |
| nobs.gremlin | Number of observations in data from gremlin model fit objects |
| npar.gremlin | Methods to extract log-likelihood and information criterion of a gremlin model. |
| nu2theta_lambda | (Co)variance parameter transformations. |
| nu2theta_noTrans | (Co)variance parameter transformations. |
| nu2theta_trans | (Co)variance parameter transformations. |
| nuAI2thetaAIinv_lambda | (Co)variance parameter transformations. |
| nuVar2thetaVar_lambda | (Co)variance parameter transformations. |
| print.summary.gremlin | Gremlin model summary. |
| reml | REML optimization algorithms for mixed-effect models. |
| remlIt | Mixed-effect model Restricted Maximum Likelihood (REML) iterations. |
| remlIt.default | Mixed-effect model Restricted Maximum Likelihood (REML) iterations. |
| remlIt.gremlinR | Mixed-effect model Restricted Maximum Likelihood (REML) iterations. |
| resid.gremlin | Residuals of 'class' 'gremlin' |
| residuals.gremlin | Residuals of 'class' 'gremlin' |
| runtime | Time to execute the gremlin model |
| start2theta | (Co)variance parameter transformations. |
| stTrans | (Co)variance parameter transformations. |
| summary.gremlin | Gremlin model summary. |
| theta2nu_lambda | (Co)variance parameter transformations. |
| theta2nu_trans | (Co)variance parameter transformations. |
| tr | Matrix trace methods. |
| tr.default | Matrix trace methods. |
| tr.dgCMatrix | Matrix trace methods. |
| tr.dsCMatrix | Matrix trace methods. |
| update | Mixed-effect modeling functions. |
| update.gremlin | Mixed-effect modeling functions. |
| vech2matlist | (Co)variance parameter transformations. |
| _PACKAGE | Mixed-Effects REML Incorporating Generalized Inverses |