Package: FENmlm 2.4.4

FENmlm: Fixed Effects Nonlinear Maximum Likelihood Models

Efficient estimation of maximum likelihood models with multiple fixed-effects. Standard-errors can easily and flexibly be clustered and estimations exported.

Authors:Laurent Berge [aut, cre]

FENmlm_2.4.4.tar.gz
FENmlm_2.4.4.zip(r-4.7)FENmlm_2.4.4.zip(r-4.6)FENmlm_2.4.4.zip(r-4.5)
FENmlm_2.4.4.tgz(r-4.6-x86_64)FENmlm_2.4.4.tgz(r-4.6-arm64)FENmlm_2.4.4.tgz(r-4.5-x86_64)FENmlm_2.4.4.tgz(r-4.5-arm64)
FENmlm_2.4.4.tar.gz(r-4.7-arm64)FENmlm_2.4.4.tar.gz(r-4.7-x86_64)FENmlm_2.4.4.tar.gz(r-4.6-arm64)FENmlm_2.4.4.tar.gz(r-4.6-x86_64)
FENmlm_2.4.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
FENmlm/json (API)
NEWS

# Install 'FENmlm' in R:

install.packages('FENmlm', repos = c('https://lrberge.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

trade - Trade data sample

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp openmp

2.80 score 63 scripts 221 downloads 6 exports 4 dependencies

Last updated from:7d3e171f4a. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	127
linux-devel-x86_64	OK	131
source / vignettes	OK	190
linux-release-arm64	OK	124
linux-release-x86_64	OK	128
macos-release-arm64	OK	102
macos-release-x86_64	OK	246
macos-oldrel-arm64	OK	120
macos-oldrel-x86_64	OK	306
windows-devel	OK	134
windows-release	OK	123
windows-oldrel	OK	121
wasm-release	OK	108

Exports:diagnostic femlm getFE obs2remove res2table res2tex

Dependencies:Formula MASS numDeriv Rcpp

Efficient Maximum Likelihood Estimation with Multiple Fixed-Effects

Laurent Berge

Rendered fromFENmlm.Rmdusingknitr::rmarkdownon May 10 2026.

Last update: 2023-08-22
Started: 2018-08-04

Citation

Readme and manuals

Help Manual

Help page	Topics
Fixed Effects Nonlinear Maximum Likelihood Models	FENmlm-package FENmlm
Aikake's an information criterion	AIC.femlm
Bayesian information criterion	BIC.femlm
Extracts the coefficients from a femlm fit	coef.femlm coefficients.femlm
Confidence interval for parameters estimated with femlm	confint.femlm
Collinearity diagnostics for femlm objects	diagnostic
Fixed effects maximum likelihood models	femlm
Extracts fitted values from a femlm fit	fitted.femlm fitted.values.femlm
Extract the formula of a femlm fit	formula.femlm
Extract the Fixed-Effects from a 'femlm' estimation.	getFE
Extracts the log-likelihood	logLik.femlm
Design matrix of a femlm model	model.matrix.femlm
Extract the number of observations form a femlm object	nobs.femlm
Finds observations to be removed from ML estimation with factors/clusters	obs2remove
Displaying the most notable fixed-effects	plot.femlm.allClusters
Predict method for femlm fits	predict.femlm
A print facility for 'femlm' objects. It can compute different types of standard errors.	print.femlm
Print method for femlm.obs2remove objects	print.femlm.obs2remove
Facility to display the results of multiple 'femlm' estimations.	res2table
Facility to export the results of multiple 'femlm' estimations in a Latex table.	res2tex
Extracts residuals from a femlm object	resid.femlm residuals.femlm
Summary of a 'femlm' object. Computes different types of standard errors.	summary.femlm
Summary method for cluster coefficients	summary.femlm.allClusters
Trade data sample	trade
Updates a femlm estimation	update.femlm
Extract the variance/covariance of a femlm fit	vcov.femlm