a fitted mixed-effects model of class "merMod", i.e., typically the result of lmer(), glmer() or nlmer().

a character vector specifying the name(s) of the “component”. If length(name)>1, a named list of components will be returned. Possible values are:

X

fixed-effects model matrix

Z

random-effects model matrix

Zt

transpose of random-effects model matrix. Note that the structure of Zt has changed since lme4.0; to get a backward-compatible structure, use do.call(Matrix::rBind,getME(.,"Ztlist"))

Ztlist

list of components of the transpose of the random-effects model matrix, separated by individual variance component

y

response vector

mu

conditional mean of the response

u

conditional mode of the “spherical” random effects variable

b

conditional mode of the random effects variable

Gp

groups pointer vector. A pointer to the beginning of each group of random effects corresponding to the random-effects terms, beginning with 0 and including a final element giving the total number of random effects

Tp

theta pointer vector. A pointer to the beginning of the theta sub-vectors corresponding to the random-effects terms, beginning with 0 and including a final element giving the number of thetas.

L

sparse Cholesky factor of the penalized random-effects model.

Lambda

relative covariance factor Lambda of the random effects.

Lambdat

transpose Lambda' of Lambda above.

Lind

index vector for inserting elements of theta into the nonzeros of Lambda.

A

Scaled sparse model matrix (class "dgCMatrix") for the unit, orthogonal random effects, U, equal to getME(.,"Zt") %*% getME(.,"Lambdat")

RX

Cholesky factor for the fixed-effects parameters

RZX

cross-term in the full Cholesky factor

sigma

residual standard error; note that sigma(object) is preferred.

flist

a list of the grouping variables (factors) involved in the random effect terms

beta

fixed-effects parameter estimates (identical to the result of fixef, but without names)

theta

random-effects parameter estimates: these are parameterized as the relative Cholesky factors of each random effect term

ST

A list of S and T factors in the TSST' Cholesky factorization of the relative variance matrices of the random effects associated with each random-effects term. The unit lower triangular matrix, T, and the diagonal matrix, S, for each term are stored as a single matrix with diagonal elements from S and off-diagonal elements from T.

n_rtrms

number of random-effects terms

n_rfacs

number of distinct random-effects grouping factors

cnms

the “component names”, a list.

REML

restricted maximum likelihood

is_REML

same as the result of isREML(.)

devcomp

a list consisting of a named numeric vector, “cmp”, and a named integer vector, “dims”, describing the fitted model. The elements of “cmp” are “ldL2” (twice the log determinant of “L”), “ldRX2” (twice the log determinant of “RX”), “wrss” (weighted residual sum of squares), “ussq” (squared length of “u”), “pwrss” (penalized weighted residual sum of squares, “wrss + ussq”), “drsum” (sum of residual deviance, GLMMs only), “REML” (REML criterion at optimum, LMMs fit by REML only), “dev” (deviance criterion at optimum, models fit by ML only), “sigmaML” (ML estimate of residual standard deviation), “sigmaREML” (REML estimate of residual standard deviation), “tolPwrss” (tolerance for declaring convergence in the penalized iteratively weighted residual sum-of-squares, GLMMs only). The elements of “dims” are “N” (number of rows of “X”), “n” (length of “y”), “p” (number of columns of “X”), “nmp” (“n-p”), “nth” (length of “theta”), “q” (number of columns of “Z”), “nAGQ” (see glmer), “compDev” (see glmerControl), “useSc” (“TRUE” if model has a dispersion parameter), “reTrms” (number of random effects terms), “REML” (“TRUE” if model fit by REML), “GLMM” (“TRUE” if a GLMM), “NLMM” (“TRUE” if an NLMM).

offset

model offset

lower

lower bounds on model parameters (random effects parameters only).