Estimate and Manage Empirical Distributions

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Documentation for package ‘distrr’ version 0.0.6

• DESCRIPTION file.
• Package NEWS.

Help Pages

combn_char	Generate all combinations of the elements of a character vector
dcc	Data cube creation (dcc)
dcc2	Data cube creation (dcc)
dcc5	Data cube creation (dcc)
dcc6	Data cube creation
dcc6_fixed	Data cube creation
distrr	Estimate and manage empirical distributions
extract_unique	Functions to be used in conjunction with 'dcc' family
extract_unique2	Functions to be used in conjunction with 'dcc' family
extract_unique3	Functions to be used in conjunction with 'dcc' family
extract_unique4	Functions to be used in conjunction with 'dcc' family
extract_unique5	Functions to be used in conjunction with 'dcc' family
Fhat_conditional_	Weighted empirical cumulative distribution function (ecdf), conditional on one or more variables
Fhat_df_	Weighted empirical cumulative distribution function (data frame version)
invented_wages	Invented dataset with wages of men and women.
jointfun_	A minimal function which counts the number of observations by groups in a data frame
only_joint	Keeps only joint distribution (removes '.total').
wq	Empirical weighted quantile