Function reference • fixest

Estimation Methods to perform fixed-effects estimations
`feols()` `feols.fit()`	Fixed-effects OLS estimation
`feglm()` `feglm.fit()` `fepois()`	Fixed-effects GLM estimations
`femlm()` `fenegbin()`	Fixed-effects maximum likelihood models
`feNmlm()`	Fixed effects nonlinear maximum likelihood models
Handling results, multiple Visualize results in tables or graphs
`etable()` `setFixest_etable()` `getFixest_etable()` `print(<etable_tex>)` `print(<etable_df>)` `log_etable()` `esttable()` `esttex()`	Estimations table (export the results of multiples estimations to a DF or to Latex)
`coefplot()` `iplot()`	Plots confidence intervals and point estimates
`style.df()`	Style of data.frames created by etable
`style.tex()`	Style definitions for Latex tables
`extralines_register()`	Register `extralines` macros to be used in `etable`
Handling results, single Extracts values from single estimations
`summary(<fixest>)` `summary(<fixest_list>)`	Summary of a `fixest` object. Computes different types of standard errors.
`obs()`	Extracts the observations used for the estimation
`coeftable()` `se()` `pvalue()` `tstat()`	Extracts the coefficients table from an estimation
`coeftable(<default>)` `se(<default>)` `tstat(<default>)` `pvalue(<default>)` `se(<matrix>)`	Extracts the coefficients table from an estimation
`coeftable(<fixest>)` `se(<fixest>)` `tstat(<fixest>)` `pvalue(<fixest>)`	Obtain various statistics from an estimation
`coef(<fixest>)` `coefficients(<fixest>)`	Extracts the coefficients from a `fixest` estimation
`confint(<fixest>)`	Confidence interval for parameters estimated with `fixest`
`print(<fixest>)` `setFixest_print()` `getFixest_print()`	A print facility for `fixest` objects.
Difference-in-difference tools Various tools to perform DiD estimations
`sunab()` `sunab_att()`	Sun and Abraham interactions
`aggregate(<fixest>)`	Aggregates the values of DiD coefficients a la Sun and Abraham
`i()`	Create, or interact variables with, factors
Standard-errors Computing the Standard-errors
`vcov(<fixest>)`	Computes the variance/covariance of a `fixest` object
`summary(<fixest>)` `summary(<fixest_list>)`	Summary of a `fixest` object. Computes different types of standard errors.
`ssc()` `dof()` `setFixest_ssc()` `getFixest_ssc()`	Governs the small sample correction in `fixest` VCOVs
`vcov_cluster()`	Clustered VCOV
`vcov_conley()` `conley()`	Conley VCOV
`vcov_DK()` `vcov_NW()` `NW()` `newey_west()` `DK()` `driscoll_kraay()`	HAC VCOVs
Multiple estimations Perform, and handle, multiple estimations
`sw()` `csw()` `sw0()` `csw0()`	Stepwise estimation tools
`as.list(<fixest_multi>)`	Transforms a fixest_multi object into a list
`coef(<fixest_multi>)` `coefficients(<fixest_multi>)`	Extracts the coefficients of fixest_multi objects
`coeftable(<fixest_multi>)` `se(<fixest_multi>)` `tstat(<fixest_multi>)` `pvalue(<fixest_multi>)`	Extracts the coefficients tables from `fixest_multi` estimations
`confint(<fixest_multi>)`	Confidence intervals for `fixest_multi` objects
`print(<fixest_multi>)`	Print method for fixest_multi objects
`resid(<fixest_multi>)` `residuals(<fixest_multi>)`	Extracts the residuals from a `fixest_multi` object
`[`(<fixest_multi>)	Subsets a fixest_multi object
`[[`(<fixest_multi>)	Extracts one element from a `fixest_multi` object
`summary(<fixest_multi>)`	Summary for fixest_multi objects
`models()`	Extracts the models tree from a `fixest_multi` object
Methods from the `stats` package Various methods from the stats package
`model.matrix(<fixest>)`	Design matrix of a `fixest` object
`predict(<fixest>)`	Predict method for `fixest` fits
`fitted(<fixest>)` `fitted.values(<fixest>)`	Extracts fitted values from a `fixest` fit
`hatvalues(<fixest>)`	Hat values for `fixest` objects
`update(<fixest>)`	Updates a `fixest` estimation
`resid(<fixest>)` `residuals(<fixest>)`	Extracts residuals from a `fixest` object
`sigma(<fixest>)`	Residual standard deviation of `fixest` estimations
`weights(<fixest>)`	Extracts the weights from a `fixest` object
`formula(<fixest>)`	Extract the formula of a `fixest` fit
`terms(<fixest>)`	Extract the terms
Formula tools Tools to manipulate formulas
`xpd()`	Expands formula macros
`setFixest_fml()` `getFixest_fml()`	Sets/gets formula macros
Utility tools User-level versions of internal tools
`demean()`	Centers a set of variables around a set of factors
`to_integer()`	Fast transform of any type of vector(s) into an integer vector
`bin()`	Bins the values of a variable (typically a factor)
`ref()`	Refactors a variable
Panel data tools Set of tools for panel data
`panel()`	Constructs a `fixest` panel data base
`unpanel()`	Dissolves a `fixest` panel
`lag(<formula>)` `lag_fml()`	Lags a variable using a formula
`f()` `d()` `l()`	Lags a variable in a `fixest` estimation
`[`(<fixest_panel>)	Method to subselect from a `fixest_panel`
Handling the fixed-effects Tools to extract and manipulate the fixed-effects
`fixef(<fixest>)`	Extract the Fixed-Effects from a `fixest` estimation.
`plot(<fixest.fixef>)`	Displaying the most notable fixed-effects
`summary(<fixest.fixef>)`	Summary method for fixed-effects coefficients
Fit statistics Methods to extract fit statistics from estimations
`fitstat()`	Computes fit statistics of fixest objects
`fitstat_register()`	Register custom fit statistics
`degrees_freedom()` `degrees_freedom_iid()`	Gets the degrees of freedom of a `fixest` estimation
`r2()`	R2s of `fixest` models
`AIC(<fixest>)`	Aikake's an information criterion
`BIC(<fixest>)`	Bayesian information criterion
`logLik(<fixest>)`	Extracts the log-likelihood
`deviance(<fixest>)`	Extracts the deviance of a fixest estimation
`nobs(<fixest>)`	Extracts the number of observations form a `fixest` object
`wald()`	Wald test of nullity of coefficients
`print(<fixest_fitstat>)`	Print method for fit statistics of fixest estimations
Default values The default arguments of many fixest functions can be set at will
`etable()` `setFixest_etable()` `getFixest_etable()` `print(<etable_tex>)` `print(<etable_df>)` `log_etable()` `esttable()` `esttex()`	Estimations table (export the results of multiples estimations to a DF or to Latex)
`print(<fixest>)` `setFixest_print()` `getFixest_print()`	A print facility for `fixest` objects.
`setFixest_coefplot()` `getFixest_coefplot()`	Sets the defaults of coefplot
`setFixest_dict()` `getFixest_dict()`	Sets/gets the dictionary relabeling the variables
`setFixest_estimation()` `getFixest_estimation()`	Default arguments for fixest estimations
`setFixest_fml()` `getFixest_fml()`	Sets/gets formula macros
`setFixest_notes()` `getFixest_notes()`	Sets/gets whether to display notes in `fixest` estimation functions
`setFixest_nthreads()` `getFixest_nthreads()`	Sets/gets the number of threads to use in `fixest` functions
`setFixest_vcov()` `getFixest_vcov()`	Sets the default type of standard errors to be used
`ssc()` `dof()` `setFixest_ssc()` `getFixest_ssc()`	Governs the small sample correction in `fixest` VCOVs
Data tools Small functions related to data manipulation
`fdim()`	Formatted dimension
`sample_df()`	Randomly draws observations from a data set
`n_unik()` `print(<vec_n_unik>)` `print(<list_n_unik>)`	Prints the number of unique elements in a data set
`osize()` `print(<osize>)`	Formatted object size
Other methods and functions Other methods and functions that didn’t fit the previous sections
`est_env()`	Estimates a `fixest` estimation from a `fixest` environment
`as.dict()`	Transforms a character string into a dictionary
`dsb()`	Simple and powerful string manipulation with the dot square bracket operator
`check_conv_feols()` `summary(<fixest_check_conv>)`	Check the fixed-effects convergence of a `feols` estimation
`did_means()`	Treated and control sample descriptives
`fixest_startup_msg()`	Permanently removes the fixest package startup message
`bread(<fixest>)`	Extracts the bread matrix from fixest objects
`collinearity()`	Collinearity diagnostics for `fixest` objects
`estfun(<fixest>)`	Extracts the scores from a fixest estimation
`_index_` `fixest` `fixest-package`	Fast and User-Friendly Fixed-Effects Estimations
`rep(<fixest>)` `rep(<fixest_list>)` `.l()`	Replicates `fixest` objects
Data sets Data sets used in the examples
`base_did`	Sample data for difference in difference
`trade`	Trade data sample
`base_stagg`	Sample data for staggered difference in difference

Reference

Estimation

Handling results, multiple

Handling results, single

Difference-in-difference tools

Standard-errors

Multiple estimations

Methods from the `stats` package

Formula tools

Utility tools

Panel data tools

Handling the fixed-effects

Fit statistics

Default values

Data tools

Other methods and functions

Data sets

Reference

Estimation

Handling results, multiple

Handling results, single

Difference-in-difference tools

Standard-errors

Multiple estimations

Methods from the stats package

Formula tools

Utility tools

Panel data tools

Handling the fixed-effects

Fit statistics

Default values

Data tools

Other methods and functions

Data sets

Methods from the `stats` package