Display all mean functions and error distributions of given classes.
print_models(mean_class = "all", err_class = "all")
String that indicates the class of mean functions to list. Possible values are:
Constant and uniform mean functions.
Main mean functions.
Special cases of main mean functions.
All mean functions.
String that indicates the class of error distributions to list.
0/1 data; ("bernoulli").
Binomial data represented as counts or proportions; ("binomial.count", "binomial.prop").
[0-1] data; ("tab", "zitab").
Count data; ("poisson", "negbin", "zip", "zinb", "zipl", "zinbl", "zipl.mu", "zinbl.mu").
Non-negative continous data; ("gaussian", "tweedie", "zig", "zigl", "zigl.mu", "ziig", "ziigl", "ziigl.mu").
List containing vectors of mean functions and error distributions of given classes.
## Display all mean functions and error distributions
print_models()
#> $mean_functions
#> [1] "constant" "uniform" "beta"
#> [4] "sech" "modskurt" "gaussian"
#> [7] "mixgaussian" "hofV" "sech.p1"
#> [10] "sech.r0p1" "mixgaussian.equal" "hofII"
#> [13] "hofIV" "hofIVb" "hofVb"
#>
#> $error_distributions
#> [1] "bernoulli" "binomial.count" "binomial.prop" "poisson"
#> [5] "negbin" "zip" "zinb" "zipl"
#> [9] "zinbl" "zipl.mu" "zinbl.mu" "gaussian"
#> [13] "tweedie" "zig" "zigl" "zigl.mu"
#> [17] "ziig" "ziigl" "ziigl.mu" "tab"
#> [21] "zitab"
#>
## Display main mean functions and count data error distributions
print_models(mean_class="main", err_class="count")
#> $mean_functions
#> [1] "beta" "sech" "modskurt" "gaussian" "mixgaussian"
#> [6] "hofV"
#>
#> $error_distributions
#> [1] "poisson" "negbin" "zip" "zinb" "zipl" "zinbl" "zipl.mu"
#> [8] "zinbl.mu"
#>