Export more S3 methods for model_parameters() generic

[IndrajeetPatil]

A lot of the objects listed below are actually supported in parameters, but developers who will be comparing it with broom will think they aren't because there are no exported methods in NAMESPACE.

broom_tidy <- ls(getNamespace("broom"))
broom_tidy <- broom_tidy[grepl("^tidy", broom_tidy)]
broom_supported <- gsub("^tidy.", "", broom_tidy)
easystats_tidy <- ls(getNamespace("parameters"))
easystats_tidy <- easystats_tidy[grepl("^model_parameters", easystats_tidy)]
easystats_supported <- gsub("^model_parameters.", "", easystats_tidy)

broom_supported[!broom_supported %in% easystats_supported]
#>   [1] "emmeans"                  "emmeans_summary"         
#>   [3] "irlba"                    "optim"                   
#>   [5] "svd"                      "xyz"                     
#>   [7] "aareg"                    "acf"                     
#>   [9] "Arima"                    "biglm"                   
#>  [11] "binDesign"                "binWidth"                
#>  [13] "boot"                     "btergm"                  
#>  [15] "cch"                      "character"               
#>  [17] "cld"                      "clm"                     
#>  [19] "confint.glht"             "confusionMatrix"         
#>  [21] "coxph"                    "crr"                     
#>  [23] "cv.glmnet"                "density"                 
#>  [25] "dgCMatrix"                "dgTMatrix"               
#>  [27] "dist"                     "drc"                     
#>  [29] "durbinWatsonTest"         "ergm"                    
#>  [31] "factanal"                 "felm"                    
#>  [33] "fixest"                   "ftable"                  
#>  [35] "garch"                    "geeglm"                  
#>  [37] "glmnet"                   "glmrob"                  
#>  [39] "glmRob"                   "gmm"                     
#>  [41] "ivreg"                    "kappa"                   
#>  [43] "kde"                      "Kendall"                 
#>  [45] "leveneTest"               "Line"                    
#>  [47] "Lines"                    "lm"                      
#>  [49] "lm.beta"                  "lmrob"                   
#>  [51] "lmRob"                    "logical"                 
#>  [53] "lsmobj"                   "manova"                  
#>  [55] "map"                      "mfx"                     
#>  [57] "mlogit"                   "muhaz"                   
#>  [59] "nlrq"                     "nls"                     
#>  [61] "NULL"                     "numeric"                 
#>  [63] "orcutt"                   "plm"                     
#>  [65] "poLCA"                    "Polygon"                 
#>  [67] "Polygons"                 "power.htest"             
#>  [69] "prcomp"                   "pyears"                  
#>  [71] "rcorr"                    "ref.grid"                
#>  [73] "regsubsets"               "rlm"                     
#>  [75] "roc"                      "rq"                      
#>  [77] "sarlm"                    "Sarlm"                   
#>  [79] "sparseMatrix"             "SpatialLinesDataFrame"   
#>  [81] "SpatialPolygons"          "SpatialPolygonsDataFrame"
#>  [83] "spec"                     "speedglm"                
#>  [85] "speedlm"                  "summary_emm"             
#>  [87] "summary.glht"             "summary.lm"              
#>  [89] "summary.plm"              "summaryDefault"          
#>  [91] "survdiff"                 "survexp"                 
#>  [93] "survfit"                  "survreg"                 
#>  [95] "svyolr"                   "table"                   
#>  [97] "tobit"                    "ts"                      
#>  [99] "TukeyHSD"                 "zoo"

^{Created on 2022-07-17 by the reprex package (v2.0.1)}

This is because most of them are supported by the default method:

library(parameters)
library(speedglm)
#> Loading required package: Matrix
#> Loading required package: MASS

sloop::s3_dispatch(model_parameters(lm(wt ~ mpg, mtcars)))
#>    model_parameters.lm
#> => model_parameters.default

^{Created on 2022-07-17 by the reprex package (v2.0.1)}

I think we just need to do something like-

#' @export
model_parameters.lm <- model_parameters.default

This is low priority, and probably easy enough to be handled by newcomers.

[bwiernik]

If someone implements this, all of the assignments should be stacked like:

model_parameters.a <- 
  model_parameters.b <-
  model_parameteters.default

[IndrajeetPatil]

But, IINM, model_parameters.b won't appear in NAMESPACE if we do it this way.

We'll need to do something like this if both of them are to appear in NAMESPACE:

#' @export
model_parameters.a <- model_parameteters.default

#' @export
model_parameters.b <- model_parameteters.default  

[IndrajeetPatil]

But, IINM, model_parameters.b won't appear in NAMESPACE if we do it this way.

Yes, I can confirm that this is the case.
Just tried it with the code below, and the middle ones in the chain disappear from NAMESPACE:

parameters/R/methods_quantreg.R

Lines 42 to 59 in 47b6c0c

	#' @export
	ci.rq <- ci.default
	#' @export
	ci.rqss <- ci.default
	#' @export
	ci.crq <- ci.default
	#' @export
	ci.nlrq <- ci.default
	#' @export
	ci.rqs <- ci.default

[bwiernik]

Hmmm, there's a way, let me see what I did before

Edit: ah nope, I was misremembering.

[IndrajeetPatil]

Okay. Thanks for checking!

That would have indeed been cleaner if it were supported. Is it that roxygen2 can't handle this, or that R itself doesn't support it?

Just wondering if we can make a feature request.

[IndrajeetPatil]

But, regardless, at least for now we can just do the following:

#' @export
model_parameters.a <- model_parameteters.default

#' @export
model_parameters.b <- model_parameteters.default  

[bwiernik]

It's a Roxygen limitation

[jimrothstein]

In a PR, I the added export S3 methods for model_parameters() generic:

Just as FYI reference, here is clumsy code I used:

missing classes

x <- broom_supported[!broom_supported %in% easystats_supported]

and to construct this

#' @export
model_parameters.CLASS <- model_parameters.default

use clumsy code

cat(vapply(x,
function(x) { paste0("#' @export\n", "model_parameters.",x, " <- model_parameters.default\n\n")},
character(length = 1),
USE.NAMES=F)

)

ALSO, I found this *without* function a little easier to decipher:

"%w/o%" <- function(x, y) x[!x %in% y] #-- x without y
x <- broom_supported %w/o% easystats_supported