feature request: supporting buildmer class objects

[IndrajeetPatil]

buildmer makes it easy to perform stepwise elimination of mixed-effects models fit and it would be nice if this is supported in broom.mixed-

library(buildmer)

m <- buildlme(Reaction ~ Days + (Days | Subject), data = lme4::sleepstudy)
#> Determining predictor order
#> Fitting via lm: Reaction ~ 1
#> Currently evaluating LRT for: Days
#> Fitting via lm: Reaction ~ 1 + Days
#> Updating formula: Reaction ~ 1 + Days
#> Fitting via gls (because REML was requested): Reaction ~ 1 + Days
#> Currently evaluating LRT for: 1 | Subject
#> Fitting via lme, with REML: Reaction ~ 1 + Days, random=~1 | Subject
#> Updating formula: Reaction ~ 1 + Days + (1 | Subject)
#> Currently evaluating LRT for: Days | Subject
#> Fitting via lme, with REML: Reaction ~ 1 + Days, random=~1 + Days | Subject
#> Updating formula: Reaction ~ 1 + Days + (1 + Days | Subject)
#> Fitting ML and REML reference models
#> Fitting via lme, with REML: Reaction ~ 1 + Days, random=~1 + Days | Subject
#> Fitting via lme, with ML: Reaction ~ 1 + Days, random=~1 + Days | Subject
#> Testing terms
#> Fitting via lme, with REML: Reaction ~ 1 + Days, random=~1 | Subject
#>   grouping term           block     score          LRT Iteration
#> 1     <NA>    1         NA NA 1        NA           NA         1
#> 2     <NA> Days      NA NA Days -32.67300           NA         1
#> 3  Subject    1    NA Subject 1 -56.86469           NA         1
#> 4  Subject Days NA Subject Days -22.11155 2.495021e-10         1
#> All terms are significant

summary(m)
#> Linear mixed-effects model fit by REML
#>  Data: lme4::sleepstudy 
#>        AIC      BIC    logLik
#>   1755.628 1774.719 -871.8141
#> 
#> Random effects:
#>  Formula: ~1 + Days | Subject
#>  Structure: General positive-definite, Log-Cholesky parametrization
#>             StdDev    Corr  
#> (Intercept) 24.740241 (Intr)
#> Days         5.922103 0.066 
#> Residual    25.591843       
#> 
#> Fixed effects: Reaction ~ 1 + Days 
#>                 Value Std.Error  DF  t-value p-value
#> (Intercept) 251.40510  6.824516 161 36.83853       0
#> Days         10.46729  1.545783 161  6.77151       0
#>  Correlation: 
#>      (Intr)
#> Days -0.138
#> 
#> Standardized Within-Group Residuals:
#>         Min          Q1         Med          Q3         Max 
#> -3.95355735 -0.46339976  0.02311783  0.46339621  5.17925089 
#> 
#> Number of Observations: 180
#> Number of Groups: 18

^{Created on 2019-09-29 by the reprex package (v0.3.0)}

Session info

devtools::session_info()
#> - Session info ----------------------------------------------------------
#>  setting  value                       
#>  version  R version 3.6.1 (2019-07-05)
#>  os       Windows 10 x64              
#>  system   x86_64, mingw32             
#>  ui       RTerm                       
#>  language (EN)                        
#>  collate  English_United States.1252  
#>  ctype    English_United States.1252  
#>  tz       Europe/London               
#>  date     2019-09-29                  
#> 
#> - Packages --------------------------------------------------------------
#>  package     * version    date       lib source                        
#>  assertthat    0.2.1      2019-03-21 [1] CRAN (R 3.6.0)                
#>  backports     1.1.4      2019-04-10 [1] CRAN (R 3.6.0)                
#>  boot          1.3-23     2019-07-05 [1] CRAN (R 3.6.1)                
#>  buildmer    * 1.3        2019-09-28 [1] CRAN (R 3.6.1)                
#>  callr         3.3.2      2019-09-22 [1] CRAN (R 3.6.1)                
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#>  glue          1.3.1      2019-03-12 [1] CRAN (R 3.6.0)                
#>  highr         0.8        2019-03-20 [1] CRAN (R 3.6.0)                
#>  htmltools     0.3.6      2017-04-28 [1] CRAN (R 3.5.1)                
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#>  nlme          3.1-140    2019-05-12 [2] CRAN (R 3.6.1)                
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#>  withr         2.1.2      2018-03-15 [1] CRAN (R 3.5.1)                
#>  xfun          0.9        2019-08-21 [1] CRAN (R 3.6.1)                
#>  yaml          2.2.0      2018-07-25 [1] CRAN (R 3.5.1)                
#> 
#> [1] C:/Users/inp099/Documents/R/win-library/3.6
#> [2] C:/Program Files/R/R-3.6.1/library