dmai 1.0.0

Changes visible to users

dmai() keeps its name, its arguments (.data, method, logbase) and its result (a table with the date and DMAI); new arguments are appended: date, x, r (column names; by default Date, x1, x2, … and r1, r2, … as before), user_cost (user costs given directly), benchmark (a benchmark rate instead of the largest component rate, with the upper envelope), percent, base and as_dt.
The table also has the index level (index, equal to base at the first date) and value (the aggregate in the units of the components). It is a data.table (version 0.5.0 returned a grouped tibble).
as_dt = FALSE returns the full result, of class c("dmai_index", "dmai_result", "list"): the index, the user costs and shares of every component, the benchmark rate, the dual user-cost price index, the Divisia second moments and the simple sum, with print(), summary(), plot(), ggplot2::autoplot() and as.data.table() methods; the printed result ends with the sources of the method.
Every function that takes data or a result is an S3 generic with a .default method.
method has a default ("Barnett"): in version 0.5.0 a call without method stopped with an error.

The growth DMAI of the Barnett method used logarithms to base 10 by default (logbase = NULL), which gives 0.434 times the growth rate; Barnett’s Divisia index uses natural logarithms. The default is now the natural logarithm, so DMAI is the growth in percent; logbase = 10 reproduces version 0.5.0 exactly.

Methods "Fisher" (Fisher ideal index), "SimpleSum" and "CE" (currency equivalent index of Rotemberg, Driscoll and Poterba 1995) in dmai().
dmai_compare(): every method on the same data, with average growth per period and per year.
dmai_user_cost(): user costs and expenditure shares of the components.
dmai_moments(): Divisia means and variances of the growth of the components and of their user costs (Barnett and Serletis 1990).
The dual user-cost price index by factor reversal.
dmai_interpret(), dmai_cite(), dmai_app(): a plain-language interpretation of every result, the references of every method and a built-in shiny application; dmai_theme(), dmai_save() (with WebP), dmai_notation(), dmai_reference().
Data: money_sim (simulated monthly monetary components, 2005 to 2024) and cpi_ch19 (the artificial data of the Consumer Price Index Manual, whose chained Laspeyres, Paasche, Fisher and Tornqvist indexes the package reproduces).
Quarto vignettes in HTML and PDF; complete help pages with the formulas; tests against version 0.5.0, hand computations and the published values.

dplyr, magrittr, stringr, tibble and tidyr are no longer imported; the computations are matrix operations and data.table.