Rcpp_miceFast-class: Class '"Rcpp_miceFast"'

In miceFast: Fast Imputations Using 'Rcpp' and 'Armadillo'

Class "Rcpp_miceFast"

Description

This C++ class could be used to build a miceFast objects by invoking new(miceFast) function.

Extends

Class "C++Object", directly.

All reference classes extend and inherit methods from "envRefClass".

Methods

set_data(...):

providing data by a reference - a numeric matrix

set_g(...):

providing a grouping variable by a reference - a numeric vector WITOUT NA values - positive values

set_w(...):

providing a weightinh variable by a reference - a numeric vector WITOUT NA values - positive values

set_ridge(...):

providing a ridge i.e. the disturbance to diag of XX, default 1e-6

get_data(...):

retrieving the data

get_w(...):

retrieving the weighting variable

get_g(...):

retireiving the grouping variable

get_ridge(...):

retireiving the ridge disturbance

get_index(...):

getting the index

impute(...):

impute data under characterstics from the object like a optional grouping or weighting variable

impute_N(...):

multiple imputations - impute data under characterstics from the object like a optional grouping or weighting variable

update_var(...):

permanently update the variable at the object and data. Use it only if you are sure about model parameters

get_models(...):

get possible quantitative models for a certain type of dependent variable

get_model(...):

get a recommended quantitative model for a certain type of dependent variable

which_updated(...):

which variables at the object was modified by update_var

sort_byg(...):

sort data by the grouping variable

is_sorted_byg(...):

check if data is sorted by the grouping variable

vifs(...):

Variance inflation factors (VIF) - helps to check when the predictor variables are not linearly related

initialize(...):

...

finalize():

...

Note

This is only frame for building C++ object which could be used to implement certain methods. Check the vignette for more details of implementing these methods.

Vigniette: https://CRAN.R-project.org/package=miceFast

References

See the documentation for RcppArmadillo and Rcpp for more details of how this class was built.

Examples

#showClass("Rcpp_miceFast")
show(miceFast)
new(miceFast)

miceFast documentation built on Nov. 18, 2022, 1:07 a.m.