`feis()`

now has option`weights`

to estimate FEIS models with weighted least squaresAllows estimation of conventional FE models by ‘y ~ x | 1’

Rank deficit columns / NA coefs are now dropped from the model (with warning message)

Bug fix: Omit intercept from transformed data if intercept = TRUE

`detrend()`

allows demeaning by ‘slopes = 1’Minor documentation and vignette updates

Define collinearity test (R:44:1) dynamic based on QR rank on system

- Bug fix: pass tol-option to collinearity handling (feis and detrend) introduced in v1.1.2

- Bug fix correct order in detrend.

New options se.fit and interval for

`predict.feis()`

: Compute standard errors and confidence intervals for predicted values.New function

`detrend()`

: Detrends the input data by the predicted values based on the slope parameters within each group.Bug fix collinearity handling: now compares equality between predicted x and actual x.

Bug fix for vignette: Add correct suggests version

Minor documentation updates

Bug fix

`feis()`

,`feistest()`

,`bsfeistest()`

: Vcov / Standard errors are now computed even if some coefficients are NA.`feistest()`

and`bsfeistest()`

: added`terms`

option to perform Hausman / Chi_sq test on subset of coefficients only.`feis()`

: added`tol`

option for detecting linear dependencies in slopes.`feis()`

: available S3 methods extended by coef, deviance, df.residual, fitted, formula, hatvalues, model.matrix, nobs, predict, residuals, sigma, terms, vcov.Added general info page

`feisr-package`

.Included dplyr

`bind_rows()`

for more efficient transformation of large data (depends on dplyr (>= 1.0.0)). Old fall-back code available for dplyr < 1.0.0.Added vignette for package use.

More efficient use of solve / crossprod

Manual updated, minor corrections.

Added citation for package.

Corrected linkage and definition of S3 methods.