Description Usage Arguments Details Methods Author(s) References See Also
Extract coefficients and GOF measures from a statistical object.
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## S4 method for signature 'aftreg'
extract(model, include.loglik = TRUE,
include.lr = TRUE, include.nobs = TRUE, include.events = TRUE,
include.trisk = TRUE, ...)
## S4 method for signature 'Arima'
extract(model, include.pvalues = FALSE,
include.aic = TRUE, include.loglik = TRUE, ...)
## S4 method for signature 'ARIMA'
extract(model, include.pvalues = FALSE,
include.aic = TRUE, include.aicc = TRUE, include.bic = TRUE,
include.loglik = TRUE, ...)
## S4 method for signature 'averaging'
extract(model, use.ci = FALSE,
adjusted.se = FALSE, include.nobs = TRUE, ...)
## S4 method for signature 'bam'
extract(model, include.smooth = TRUE,
include.aic = TRUE, include.bic = TRUE,
include.loglik = TRUE, include.deviance = TRUE,
include.dev.expl = TRUE, include.dispersion = TRUE,
include.rsquared = TRUE, include.gcv = TRUE,
include.nobs = TRUE, include.nsmooth = TRUE, ...)
## S4 method for signature 'betareg'
extract(model, include.precision = TRUE,
include.pseudors = TRUE, include.loglik = TRUE,
include.nobs = TRUE, ...)
## S4 method for signature 'brglm'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.deviance = TRUE, include.nobs = TRUE, ...)
## S4 method for signature 'btergm'
extract(model, level = 0.95,
include.nobs = TRUE, ...)
## S4 method for signature 'censReg'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.nobs = TRUE, ...)
## S4 method for signature 'clm'
extract(model, include.thresholds = TRUE,
include.aic = TRUE, include.bic=TRUE, include.loglik = TRUE,
include.nobs = TRUE, ...)
## S4 method for signature 'clmm'
extract(model, include.thresholds = TRUE,
include.loglik = TRUE, include.aic = TRUE,
include.bic = TRUE, include.nobs = TRUE,
include.groups = TRUE, include.variance = TRUE, ...)
## S4 method for signature 'clogit'
extract(model, include.aic = TRUE,
include.rsquared = TRUE, include.maxrs = TRUE,
include.events = TRUE, include.nobs = TRUE,
include.missings = TRUE, ...)
## S4 method for signature 'coeftest'
extract(model, ...)
## S4 method for signature 'coxph'
extract(model, include.aic = TRUE,
include.rsquared = TRUE, include.maxrs=TRUE,
include.events = TRUE, include.nobs = TRUE,
include.missings = TRUE, include.zph = TRUE, ...)
## S4 method for signature 'coxph.penal'
extract(model, include.aic = TRUE,
include.rsquared = TRUE, include.maxrs = TRUE,
include.events = TRUE, include.nobs = TRUE,
include.missings = TRUE, include.zph = TRUE, ...)
## S4 method for signature 'dynlm'
extract(model, include.rsquared = TRUE,
include.adjrs = TRUE, include.nobs = TRUE,
include.fstatistic = FALSE, include.rmse = TRUE, ...)
## S4 method for signature 'ergm'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE, ...)
## S4 method for signature 'ergmm'
extract(model, include.bic = TRUE, ...)
## S4 method for signature 'ets'
extract(model, include.pvalues = FALSE,
include.aic = TRUE, include.aicc = TRUE, include.bic = TRUE,
include.loglik = TRUE, ...)
## S4 method for signature 'felm'
extract(model, include.nobs = TRUE,
include.rsquared = TRUE, include.adjrs = TRUE,
include.fstatistic = FALSE, ...)
## S4 method for signature 'fGARCH'
extract(model, include.nobs = TRUE,
include.aic = TRUE, include.loglik = TRUE, ...)
## S4 method for signature 'forecast'
extract(model, ...)
## S4 method for signature 'gam'
extract(model, include.smooth = TRUE,
include.aic = TRUE, include.bic = TRUE,
include.loglik = TRUE, include.deviance = TRUE,
include.dev.expl = TRUE, include.dispersion = TRUE,
include.rsquared = TRUE, include.gcv = TRUE,
include.nobs = TRUE, include.nsmooth = TRUE, ...)
## S4 method for signature 'gamlss'
extract(model, robust = FALSE,
include.nobs = TRUE, include.nagelkerke = TRUE,
include.gaic = TRUE, ...)
## S4 method for signature 'gee'
extract(model, robust = TRUE,
include.dispersion = TRUE, include.nobs = TRUE, ...)
## S4 method for signature 'geeglm'
extract(model, include.scale = TRUE,
include.correlation = TRUE, include.nobs = TRUE, ...)
## S4 method for signature 'gel'
extract(model, include.obj.fcn = TRUE,
include.overidentification = FALSE, include.nobs = TRUE,
overIdentTest = c("LR", "LM", "J "), ...)
## S4 method for signature 'glm'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.deviance = TRUE, include.nobs = TRUE, ...)
## S4 method for signature 'glmerMod'
extract(model, method = c("naive",
"profile", "boot", "Wald"), level = 0.95, nsim = 1000,
include.aic = TRUE, include.bic = TRUE, include.dic = FALSE,
include.deviance = FALSE, include.loglik = TRUE,
include.nobs = TRUE, include.groups = TRUE,
include.variance = TRUE, ...)
## S4 method for signature 'glmmadmb'
extract(model, include.variance = TRUE,
include.dispersion = TRUE, include.zero = TRUE,
include.aic = TRUE, include.bic = TRUE,
include.loglik = TRUE, include.nobs = TRUE,
include.groups = TRUE, ...)
## S4 method for signature 'glmmPQL'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.nobs = TRUE, include.groups = TRUE,
include.variance = FALSE, ...)
## S4 method for signature 'glmrob'
extract(model, include.nobs = TRUE, ...)
## S4 method for signature 'gls'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.nobs = TRUE, ...)
## S4 method for signature 'gmm'
extract(model, include.obj.fcn = TRUE,
include.overidentification = FALSE, include.nobs = TRUE, ...)
## S4 method for signature 'H2OBinomialModel'
extract(model, standardized = FALSE,
include.mse = TRUE, include.rsquared = TRUE,
include.logloss = TRUE, include.meanerror = TRUE,
include.auc = TRUE, include.gini = TRUE,
include.deviance = TRUE, include.aic = TRUE, ...)
## S4 method for signature 'hurdle'
extract(model, beside = FALSE,
include.count = TRUE, include.zero = TRUE, include.aic = TRUE,
include.loglik = TRUE, include.nobs = TRUE, ...)
## S4 method for signature 'ivreg'
extract(model, include.rsquared = TRUE,
include.adjrs = TRUE, include.nobs = TRUE,
include.fstatistic = FALSE, include.rmse = TRUE, ...)
## S4 method for signature 'lm'
extract(model, include.rsquared = TRUE,
include.adjrs = TRUE, include.nobs = TRUE,
include.fstatistic = FALSE, include.rmse = TRUE, ...)
## S4 method for signature 'lme'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.nobs = TRUE, include.groups = TRUE,
include.variance = FALSE, ...)
## S4 method for signature 'lme4'
extract(model, method = c("naive",
"profile", "boot", "Wald"), level = 0.95, nsim = 1000,
include.aic = TRUE, include.bic = TRUE, include.dic = FALSE,
include.deviance = FALSE, include.loglik = TRUE,
include.nobs = TRUE, include.groups = TRUE,
include.variance = TRUE, ...)
## S4 method for signature 'lmerMod'
extract(model, method = c("naive",
"profile", "boot", "Wald"), level = 0.95, nsim = 1000,
include.aic = TRUE, include.bic = TRUE, include.dic = FALSE,
include.deviance = FALSE, include.loglik = TRUE,
include.nobs = TRUE, include.groups = TRUE,
include.variance = TRUE, ...)
## S4 method for signature 'lmrob'
extract(model, include.nobs = TRUE, ...)
## S4 method for signature 'lnam'
extract(model, include.rsquared = TRUE,
include.adjrs = TRUE, include.aic = TRUE, include.bic = TRUE,
include.loglik = TRUE, ...)
## S4 method for signature 'lqmm'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.nobs = TRUE, include.groups = TRUE,
include.tau = FALSE, use.ci = FALSE, beside = TRUE, ...)
## S4 method for signature 'lrm'
extract(model, include.pseudors = TRUE,
include.lr = TRUE, include.nobs = TRUE, ...)
## S4 method for signature 'maBina'
extract(model, ...)
## S4 method for signature 'mer'
extract(model, method = c("naive",
"profile", "boot", "Wald"), level = 0.95, nsim = 1000,
include.aic = TRUE, include.bic = TRUE, include.dic = FALSE,
include.deviance = FALSE, include.loglik = TRUE,
include.nobs = TRUE, include.groups = TRUE,
include.variance = TRUE, ...)
## S4 method for signature 'mnlogit'
extract(model, include.aic = TRUE,
include.loglik = TRUE, include.nobs = TRUE,
include.groups = TRUE, include.intercept = TRUE,
include.iterations = FALSE, beside = FALSE, ...)
## S4 method for signature 'mlogit'
extract(model, include.aic = TRUE,
include.loglik = TRUE, include.nobs = TRUE, ...)
## S4 method for signature 'model.selection'
extract(model, include.loglik = TRUE,
include.aicc = TRUE, include.delta = TRUE,
include.weight = TRUE, include.nobs = TRUE, ...)
## S4 method for signature 'mtergm'
extract(model, include.nobs = TRUE,
include.aic = TRUE, include.bic = TRUE, include.loglik = TRUE,
...)
## S4 method for signature 'multinom'
extract(model, include.pvalues = TRUE,
include.aic = TRUE, include.bic = TRUE, include.loglik = TRUE,
include.deviance = TRUE, include.nobs = TRUE,
levels = model$lev, beside = TRUE, ...)
## S4 method for signature 'negbin'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.deviance = TRUE, include.nobs = TRUE, ...)
## S4 method for signature 'netlogit'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.deviance = TRUE,
include.nobs = TRUE, ...)
## S4 method for signature 'nlme'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.nobs = TRUE, include.groups = TRUE,
include.variance = FALSE, ...)
## S4 method for signature 'nlmerMod'
extract(model, method = c("naive",
"profile", "boot", "Wald"), level = 0.95, nsim = 1000,
include.aic = TRUE, include.bic = TRUE, include.dic = FALSE,
include.deviance = FALSE, include.loglik = TRUE,
include.nobs = TRUE, include.groups = TRUE,
include.variance = TRUE, ...)
## S4 method for signature 'ols'
extract(model, include.nobs = TRUE,
include.rsquared = TRUE, include.adjrs = TRUE,
include.fstatistic = FALSE, include.lr = TRUE, ...)
## S4 method for signature 'pgmm'
extract(model, include.nobs = TRUE,
include.sargan = TRUE, include.wald = TRUE, ...)
## S4 method for signature 'phreg'
extract(model, include.loglik = TRUE,
include.lr = TRUE, include.nobs = TRUE, include.events = TRUE,
include.trisk = TRUE, ...)
## S4 method for signature 'plm'
extract(model, include.rsquared = TRUE,
include.adjrs = TRUE, include.nobs = TRUE, ...)
## S4 method for signature 'pmg'
extract(model, include.nobs = TRUE, ...)
## S4 method for signature 'polr'
extract(model, include.thresholds = FALSE,
include.aic = TRUE, include.bic = TRUE, include.loglik = TRUE,
include.deviance = TRUE, include.nobs = TRUE, ...)
## S4 method for signature 'rem.dyad'
extract(model, include.nvertices = TRUE,
include.events = TRUE, include.aic = TRUE,
include.aicc = TRUE, include.bic = TRUE, ...)
## S4 method for signature 'rlm'
extract(model, include.nobs = TRUE, ...)
## S4 method for signature 'rq'
extract(model, include.nobs = TRUE,
include.percentile = TRUE, ...)
## S4 method for signature 'sarlm'
extract(model, include.nobs = TRUE,
include.loglik = TRUE, include.aic = TRUE, include.lr = TRUE,
include.wald = TRUE, ...)
## S4 method for signature 'sclm'
extract(model, include.thresholds = TRUE,
include.aic = TRUE, include.bic = TRUE, include.loglik = TRUE,
include.nobs = TRUE, ...)
## S4 method for signature 'selection'
extract(model, prefix = TRUE,
include.selection = TRUE, include.outcome = TRUE,
include.errors = TRUE, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.rsquared = TRUE, include.adjrs = TRUE,
include.nobs = TRUE, ...)
## S4 method for signature 'sienaFit'
extract(model, include.iterations = TRUE,
...)
## S4 method for signature 'simex'
extract(model, jackknife = TRUE,
include.nobs = TRUE, ...)
## S4 method for signature 'stergm'
extract(model, beside = FALSE,
include.formation = TRUE, include.dissolution = TRUE,
include.nvertices = TRUE, include.aic = FALSE,
include.bic = FALSE, include.loglik = FALSE, ...)
## S4 method for signature 'survreg'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.deviance = TRUE, include.nobs = TRUE, ...)
## S4 method for signature 'survreg.penal'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.deviance = TRUE, include.nobs = TRUE, ...)
## S4 method for signature 'svyglm'
extract(model, include.aic = FALSE,
include.bic = FALSE, include.loglik = FALSE,
include.deviance = TRUE, include.dispersion = TRUE,
include.nobs = TRUE, ...)
## S4 method for signature 'systemfit'
extract(model, include.rsquared = TRUE,
include.adjrs = TRUE, include.nobs = TRUE, beside = FALSE,
include.suffix = FALSE, ...)
## S4 method for signature 'texreg'
extract(model, ...)
## S4 method for signature 'tobit'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.deviance = TRUE, include.nobs = FALSE,
include.censnobs = TRUE, include.wald=TRUE, ...)
## S4 method for signature 'weibreg'
extract(model, include.loglik = TRUE,
include.lr = TRUE, include.nobs = TRUE,
include.events = TRUE, include.trisk = TRUE, ...)
## S4 method for signature 'zelig'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.deviance = TRUE, include.nobs = TRUE,
include.rsquared = TRUE, include.adjrs = TRUE,
include.fstatistic = TRUE, ...)
## S4 method for signature 'Zelig'
extract(model, include.aic = TRUE,
include.bic = TRUE, include.loglik = TRUE,
include.deviance = TRUE, include.nobs = TRUE,
include.censnobs = TRUE, include.wald = TRUE, ...)
## S4 method for signature 'zeroinfl'
extract(model, beside = FALSE,
include.count = TRUE, include.zero = TRUE, include.aic = TRUE,
include.loglik = TRUE, include.nobs = TRUE, ...)

model 
A statistical model object. 
adjusted.se 
If available: use adjusted rather than default standard errors? 
beside 
If available: should the model terms be arranged below each other or beside each other? For example, in a stergm model, the formation and dissolution coefficients can be arranged in two columns of the table. 
include.adjrs 
If available: should the adjusted Rsquared be reported? 
include.aic 
If available: should Akaike's information criterion (AIC) be reported? 
include.aicc 
If available: should AICc be reported? This is a version of AIC with a correction for finite sample sizes. 
include.auc 
If available: should the area under the curve (AUC) be reported? 
include.bic 
If available: should the Bayesian information criterion (BIC) be reported? 
include.censnobs 
If available: should the total, rightcensored, leftcensored, and uncensored number of observations be reported? 
include.correlation 
If available: should the correlation parameter alpha and its standard error be reported (for geeglm models)? 
include.count 
If available: should the count model of a zeroinflated or hurdle regression be included in the coefficients block (before the zeroinflation or zero hurdle model)? 
include.delta 
If available: should the delta statistic be included? 
include.dev.expl 
If available: should the deviance explained be reported? 
include.deviance 
If available: should the deviance be reported? 
include.dic 
If available: should the deviance information criterion (DIC) be reported? 
include.dispersion 
If available: should the dispersion or scale parameter be reported? 
include.dissolution 
If available: should the coefficients for the dissolution phase in a STERGM be reported? 
include.errors 
If available: should the error terms of a sample selection model be reported? 
include.events 
If available: should the number of events be reported (in survival models)? 
include.formation 
If available: should the coefficients for the formation phase in a STERGM be reported? 
include.fstatistic 
If available: should the F statistic be reported? 
include.gaic 
If available: should the Generalized Akaike's information criterion (GAIC) be reported? 
include.gini 
If available: should the Gini coefficient be reported? 
include.gcv 
If available: should the GCV score be reported (in GAMs)? 
include.groups 
If available: should the number of groups in a mixedeffects model (or 
include.intercept 
If available: should the intercept be included in the GOF block? 
include.iterations 
If available: should the number of iterations be included? 
include.loglik 
If available: should the loglikelihood be reported? 
include.logloss 
If available: should the log loss be reported? 
include.lr 
If available: should the likelihood ratio test be reported? 
include.maxrs 
If available: should the maximum possible Rsquared be reported? 
include.meanerror 
If available: should the mean perclass error be reported? 
include.missings 
If available: should the number of missing observations be reported (in survival models)? 
include.mse 
If available: should the mean square error be reported? 
include.nagelkerke 
If available: should Nagelkerke's Rsquared be reported? 
include.nobs 
If available: should the number of observations be reported? 
include.nsmooth 
If available: should the number of smooth terms be reported (in GAMs)? 
include.nvertices 
If available: should the number of vertices be reported in a statistical network model? 
include.obj.fcn 
If available: should the value of the objective function (= criterion function) be reported (for 
include.outcome 
If available: should the outcome component of a sample selection model be reported? 
include.overidentification 
If available: should the Jtest for overidentification be reported (for 
include.percentile 
If available: should the percentile (tau) be reported? 
include.precision 
If available: should the precision estimates of a betareg fit (the phi coefficients) be reported as part of the coefficients block? 
include.pseudors 
If available: should the pseudo Rsquared be reported? 
include.pvalues 
If available: should the p values be reported (naive p values are not recommended for lme4 models, but see also the 
include.rmse 
If available: should the rootmeansquare error (= residual standard deviation) be reported? 
include.rsquared 
If available: should Rsquared be reported? 
include.sargan 
If available: should the Sargan test be reported? 
include.scale 
If available: should the scale parameter gamma and its standard error be reported (for geeglm models)? 
include.selection 
If available: should the selection component of a sample selection model be reported? 
include.smooth 
If available: should the smooth terms of a GAM be reported? If they are reported, the EDF value is reported as the coefficient, and DF is included in parentheses (not standard errors because a chisquare test is used for the smooth terms). 
include.suffix 
If available: include the name of the current model in parentheses after each model term (instead of before the model term). 
include.tau 
If available: include tau in linear quantile mixed models? 
include.thresholds 
If available: should the threshold parameters (that is, the intercepts for the class boundaries) be reported in ordinal models? 
include.trisk 
If available: should the total time at risk be reported (in eventhistory models)? 
include.variance 
If available: should group variances be reported? 
include.wald 
If available: should the Wald statistic be included? 
include.weight 
If available: should the weight be included? 
include.zero 
If available: should the zeroinflation model of a zeroinflated regression or the zero hurdle model of a hurdle regression be included in the coefficients block (after the count model)? 
include.zph 
If available: should the Cox proportional hazards assumption be tested (resulting in a p value indicating whether the proportional hazards assumption of the model is violated)? 
jackknife 
If available: use Jackknife variance instead of Asymptotic variance. 
level 
Confidence level ( 
levels 
The names of the levels of a multinomial model that should be included in the table. Should be provided as a vector of character strings. 
method 
The method used to compute confidence intervals or p values. In lme4 models, the default value 
nsim 
In linear mixed effects models: the MCMC sample size or number of bootstrapping replications on the basis of which confidence intervals are computed (only if the 
overIdentTest 
If available: which test statistics should be included in an overidentification test (for 
prefix 
Include prefix before the label of the coefficient in order to identify the current model component. 
robust 
If available: report robust instead of naive standard errors. 
standardized 
If available: report standardized coefficients instead of raw coefficients? 
use.ci 
Use confidence intervals rather than standard errors. 
... 
Custom parameters which are handed over to subroutines. 
extract
is a generic function which extracts coefficients and GOF measures from statistical model objects. There are several extract methods for the specific model types, which are called by the generic extract function if it encounters a model known to be handled by the specific method. The output is a texreg
object, which is subsequently used by the texreg function.
aftreg
An extract method for aftreg objects from the eha package.
Arima
An extract method for Arima objects from the stats package.
ARIMA
An extract method for ARIMA objects from the forecast package.
averaging
An extract method for averaging objects from the MuMIn package.
bam
An extract method for bam objects from the mgcv package.
betareg
An extract method for betareg objects from the betareg package.
brglm
An extract method for brglm objects from the brglm package.
btergm
An extract method for btergm objects from the xergm package.
censReg
An extract method for censReg objects from the censReg package.
clm
An extract method for clm objects from the ordinal package.
clmm
An extract method for clmm objects from the ordinal package.
clogit
An extract method for clogit objects from the survival package.
coeftest
An extract method for coeftest objects from the lmtest package.
coxph
An extract method for coxph objects from the survival package.
coxph.penal
An extract method for coxph.penal objects from the survival package.
dynlm
An extract method for dynlm objects from the dynlm package.
ergm
An extract method for ergm objects from the ergm package.
ergmm
An extract method for ergmm objects from the latentnet package.
ets
An extract method for ets objects from the forecast package.
felm
An extract method for felm objects from the lfe package.
fGARCH
An extract method for fGARCH objects from the fGarch package.
forecast
An extract method for forecast objects from the forecast package.
gam
An extract method for gam objects from the mgcv package.
gamlss
An extract method for gamlss objects from the gamlss package.
gee
An extract method for gee objects from the gee package.
geeglm
An extract method for geeglm objects from the geepack package.
gel
An extract method for gel objects from the gmm package.
glm
An extract method for glm objects from the stats package.
glmerMod
An extract method for glmerMod objects from the (old) lme4 package.
glmmadmb
An extract method for glmmadmb objects from the glmmADMB package.
glmmPQL
An extract method for glmmPQL objects from the MASS package.
glmrob
An extract method for glmrob objects from the robustbase package.
gls
An extract method for gls objects from the nlme package.
gmm
An extract method for gmm objects from the gmm package.
H2OBinomialModel
An extract method for H2OBinomialModel objects from the h2o package.
hurdle
An extract method for hurdle objects from the pscl package.
ivreg
An extract method for ivreg objects from the AER package.
lm
An extract method for lm objects from the stats package.
lme
An extract method for lme objects from the nlme package.
lme4
An extract method for lme4 objects from the lme4 package.
lmerMod
An extract method for lmerMod objects from the (old) lme4 package.
lmrob
An extract method for lmrob objects from the robustbase package.
lnam
An extract method for lnam objects from the sna package.
lqmm
An extract method for lqmm objects from the lqmm package.
lrm
An extract method for lrm objects from the Design or rms package.
maBina
An extract method for maBina objects from the erer package.
mer
An extract method for mer objects from the (old) lme4 package.
mlogit
An extract method for mlogit objects from the mlogit package.
mnlogit
An extract method for mnlogit objects from the mnlogit package.
model.selection
An extract method for model.selection objects from the MuMIn package.
mtergm
An extract method for mtergm objects from the btergm package.
multinom
An extract method for multinom objects from the nnet package.
negbin
An extract method for negbin objects from the MASS package.
netlogit
An extract method for netlogit objects from the sna package.
nlme
An extract method for nlme objects from the nlme package.
nlmerMod
An extract method for nlmerMod objects from the (old) lme4 package.
ols
An extract method for ols objects from the rms package.
pgmm
An extract method for pgmm objects from the plm package.
phreg
An extract method for phreg objects from the eha package.
plm
An extract method for plm objects from the plm package.
pmg
An extract method for pmg objects from the plm package.
polr
An extract method for polr objects from the MASS package.
rem.dyad
An extract method for rem.dyad objects from the relevent package.
rlm
An extract method for rlm objects from the MASS package.
rq
An extract method for rq objects from the quantreg package.
sarlm
An extract method for sarlm objects from the spdep package.
sclm
An extract method for sclm objects from the ordinal package.
selection
An extract method for selection objects from the sampleSelection package.
sienaFit
An extract method for sienaFit objects from the RSiena package.
simex
An extract method for simex objects from the simex package.
stergm
An extract method for stergm objects from the tergm package.
survreg
An extract method for survreg objects from the survival package.
survreg.penal
An extract method for survreg.penal objects from the survival package.
svyglm
An extract method for svyglm objects from the survey package.
systemfit
An extract method for systemfit objects from the systemfit package.
texreg
An extract method for texreg objects from the texreg package. The purpose is to allow for easy manipulation of the output. texreg
objects can be created using the createTexreg function or using the extract function. After manipulating the object, it can be handed back to the screenreg, texreg, or htmlreg functions for creating a table.
tobit
An extract method for tobit objects from the AER package.
weibreg
An extract method for weibreg objects from the eha package.
zelig
An extract method for zelig objects from the Zelig package.
Zelig
An extract method for Zelig objects from the Zelig package.
zeroinfl
An extract method for zeroinfl objects from the pscl package.
Philip Leifeld (http://www.philipleifeld.com)
Leifeld, Philip (2013). texreg: Conversion of Statistical Model Output in R to LaTeX and HTML Tables. Journal of Statistical Software, 55(8), 124. http://www.jstatsoft.org/v55/i08/.
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