Mixed-Effects REML Incorporating Generalized Inverses

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Documentation for package ‘gremlin’ version 1.1.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

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.
algChk	Optimization Algorithm Checks.
anova.gremlin	anova() for gremlin objects
ccFun	Convergence Criteria Checks for REML.
ccFun,	Convergence Criteria Checks for REML.
ccFun1	Convergence Criteria Checks for REML.
ccFun1,	Convergence Criteria Checks for REML.
ccFun2	Convergence Criteria Checks for REML.
ccFun2,	Convergence Criteria Checks for REML.
ccFun3	Convergence Criteria Checks for REML.
ccFun3,	Convergence Criteria Checks for REML.
ccFun4	Convergence Criteria Checks for REML.
chol2inv_ii	Partial sparse matrix inverse from a Cholesky factorization.
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.
gradFun_fd	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.
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.
tugug_trace	REML optimization algorithms for mixed-effect models.
update	Mixed-effect modeling functions.
update.gremlin	Mixed-effect modeling functions.
vech2matlist	(Co)variance parameter transformations.