Export more `S3` methods for `model_parameters()` generic

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.

Start by inspecting NAMESPACE and the model_parameters.default entry point. Compare the supported object names in the issue with the package's exported model_parameters methods, then verify that the intended S3 methods are exported rather than relying only on the default method.