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FENmlm (version 2.4.4)
Fixed Effects Nonlinear Maximum Likelihood Models
Description
Efficient estimation of maximum likelihood models with multiple fixed-effects. Standard-errors can easily and flexibly be clustered and estimations exported.
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Version
Version
2.4.4
2.4.3
2.4.2
2.4.1
2.4
2.3.1
2.3
2.2.2
2.2.1
2.2.0
2.1.1
2.1.0
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1.0
Install
install.packages('FENmlm')
Monthly Downloads
308
Version
2.4.4
License
GPL (>= 2)
Maintainer
Laurent Berge
Last Published
August 22nd, 2023
Functions in FENmlm (2.4.4)
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formula.femlm
Extract the formula of a femlm fit
coef.femlm
Extracts the coefficients from a femlm fit
print.femlm
A print facility for
femlm
objects. It can compute different types of standard errors.
getFE
Extract the Fixed-Effects from a
femlm
estimation.
nobs.femlm
Extract the number of observations form a femlm object
obs2remove
Finds observations to be removed from ML estimation with factors/clusters
print.femlm.obs2remove
Print method for femlm.obs2remove objects
resid.femlm
Extracts residuals from a femlm object
summary.femlm
Summary of a
femlm
object. Computes different types of standard errors.
summary.femlm.allClusters
Summary method for cluster coefficients
femlm
Fixed effects maximum likelihood models
trade
Trade data sample
fitted.femlm
Extracts fitted values from a femlm fit
logLik.femlm
Extracts the log-likelihood
AIC.femlm
Aikake's an information criterion
model.matrix.femlm
Design matrix of a femlm model
update.femlm
Updates a femlm estimation
vcov.femlm
Extract the variance/covariance of a femlm fit
confint.femlm
Confidence interval for parameters estimated with femlm
diagnostic
Collinearity diagnostics for femlm objects
res2table
Facility to display the results of multiple
femlm
estimations.
res2tex
Facility to export the results of multiple
femlm
estimations in a Latex table.
BIC.femlm
Bayesian information criterion
plot.femlm.allClusters
Displaying the most notable fixed-effects
predict.femlm
Predict method for femlm fits
FENmlm-package
Fixed Effects Nonlinear Maximum Likelihood Models