Changes in version 1.3.1 (2026-02-06)                  

Minor Changes

  - Remove dim before calling bind_rows() to account for changes in
    vctrs (thanks to Davis Vaughan)

                 Changes in version 1.3.0 (2022-04-01)                  

Major Changes

  - wald.test() (from aod package) included as internal function to
    avoid archival

Minor Changes

  - Bug-fix detrend() for handling of vectors in data

  - Bug-fix detrend() for character vectors of data length in id

  - predicted option in detrend() returns predicted values

                 Changes in version 1.2.0 (2021-02-25)                  

Major Changes

  - feis() now has option weights to estimate FEIS models with weighted
    least squares

  - Allows 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

Minor Changes

  - detrend() allows demeaning by 'slopes = 1'

  - Minor documentation and vignette updates

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

feisr 1.1.4

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

feisr 1.1.3

  - Bug fix correct order in detrend.

feisr 1.1.2

  - 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.

feisr 1.1.1

  - Bug fix for vignette: Add correct suggests version

  - Minor documentation updates

                 Changes in version 1.1.0 (2020-06-10)                  

Major Changes

  - 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.

Minor Changes

  - More efficient use of solve / crossprod

  - Manual updated, minor corrections.

  - Added citation for package.

  - Corrected linkage and definition of S3 methods.