Changes in version 2026-05-22 (2026-05-22) Exaggerated Nobs in quicksummary function is corrected. Changes in version 2026-04-25 (2026-04-25) qpdf is out of suggests in the first check with R4.6.0. Changes in version 2026-04-09 (2026-04-09) Deprecation list introduced. It is now possible to specify the number of digits in quicksummary. The flow of the output in quicksummary summary is more logical now, i.e., Min, Q1, Median, Q3, Max, IQR. betareg and mvProbit are now supported in odds_summary. Changes in version 2026-03-23 (2026-03-23) odds_summary added. select tightened in testthat. devtools:install_github changed to pak::pak. Changes in version 2026-02-06 (2026-02-06) case_match replaced with recode_values in treatment_model and vector list used with case_when in model_factors following the release of dplyr 1.2.0. Changes in version 2026-01-15 (2026-01-15) forecst now demoted; it is no more imported namespace but is suggested as forecast is now generics. The DynamicFocast is now more efficient as a result of this change. Changes in version 2025-12-31 (2025-12-31) Sen Index, by Amartya Sen, is now evaluated along with MDPI in the mdpi function. Changes in version 2025-10-28 (2025-10-28) MaximumDate argument in the function DynamicForecast is deprecated. Changes in version 2025-09-25 (2025-09-25) A new function relative_likert added to the package. Changes in version 2025-09-20 (2025-09-20) A new function index_construction added to the package. Changes in version 2025-08-04 (2025-08-04) In view of the persistent error thrown up in some parts of model_factors, the strategy of recovery was changed, hence the 1768 lines of codes was replaced by a more efficient 22 lines of codes which produces enhanced objects and kills the error. There is a new argument to estimate Resilience capacity with model_factors. Some Arguments in quicksummary are deprecated. The test coverage increased to 84%. Changes in version 2025-07-12 (2025-07-12) varImp has been demoted and several editing was carried out for efficiency. Also, augment function has been demoted from broom package to generics. The test coverage increased to 76% since more functions are now tested. The number of dependencies continue to reduce making the package less vulnerable. quicksummary now have additional output of five types of mean, which can be useful when working on various modeling tasks. Some editing on the various functions to make them more readable. tidyverse now demoted to suggestion from requirement to reduce the load of dependencies. PRESS restored as Predictive Residual Sum of Squares. Relative importance index now part of the objects created in Garrett Ranking. The data summary and the Garrett ranking are now in one data.frame. The Remark column in Likert-type object in quicksummary is discontinued. It is now left to the user to interpret the results obtained. Some editing to make codes more readable. Changes in version 2025-04-22 (2025-04-22) More efficient estimation procedure and better logic in selecting the options to estimate in Linearsystems function. Some options will not output because of complexity. Vignette is now included in the documentation with lots of examples. The test coverage has increased from 39% to 61%. met.brewer function has been retired and MetBrewer package was demoted to suggestion rather than import. Some editing on the various functions to make them more readable. Changes in version 2025-03-03 (2025-03-03) Huge improvements and new additions to the package. A lot of editorial corrections observed in the codes have been carried out. Tree new functions, mdpi, plot_mdpi and gender are successfully tested and now operational. The functions provides for awesome resources for simple, precise and empirical policy making processes and procedures. The functions are for computing and visualizing multidimensional poverty indices. There is also more clarity of the difference between sex and gender. Changes in version 2024-10-14 (2024-10-14) roxygen 2 misleading internal keyword demobilised to index all the help pages. modelsummary's datasummary_df insistence on tinytable object for some summary data addressed, The datasummary_df was demobilised. Changes in version 2024-07-28 (2024-07-28) treatment_model introduced for propensity score matching and treatment effects Changes in version 2024-07-02 (2024-07-02) PRESS suspended in MlMetrics minor bugs discovered in the garret ranking function modules fixed. Changes in version 2024-06-24 (2024-06-24) minor bugs fixed probably due to changes in dependencies following new R release. Changes in version 2023-10-22 (2023-10-22) timeDate dependency in quicksummary is removed. Changes in version 2023-09-29 (2023-09-29) Huge improvements and new additions to the package. A lot of editorial corrections observed in the codes have been carried out. Two new functions, Model_factors and garrett_ranking are successfully tested and now operational. The two functions provides for gaining deeper insights into the meaning behind Likert-type variables collected from respondents. Garrett ranking provides the ranks of the observations of the variables based on the level of seriousness attached to it by the respondents. On the other hand, Model factors determines and retrieve the latent factors inherent in such data which now becomes continuous data. The factors or data frame retrieved from the variables can be used in other analysis like regression and machine learning. The two new functions are for factor analysis, essentially, exploratory factor analysis (EFA), used to unravel the underlying structure of the observed variables. The analysis also helps to reduce the complex structure by determining a smaller number of latent factors that sufficiently represent the variation in the observed variables. With EFA, no prior knowledge or hypothesis about the number or nature of the factors is assumed. These are great tools to help tell the story behind your data. The data used for Model_factors is prepared using fa.parallel and fa functions in the psych package. Changes in version 2023-09-25 (2023-09-25) The Data argument in the DynamicForecast function has been modified. Rather than the previous argument were a data frame, containing the two required vectors, was required, the data argument is now in three vectors date, series, x. The x argument is new but optional and would now allow additional variables apart from the two mandatory ones to be added to the model. The origin argument which was previously embedded in ... has now being defaulted to 1970-01-01. Two objects have been added to the results, i.e., table of estimates and the plots of the fitted values. The function, which was the first in the package has now be promoted to stable. Changes in version 2023-04-02 (2023-04-02) quicksummary now returns a data frame rather a kable Table. The internal argument digits in Percent is removed due to observed exaggeration of the final rates Final formatting of data frames in the Linearsystems package was removed. Now, the estimates can display in the console. Changes in version 2023-03-12 (2023-03-12) A new function data_transform added and is working perfectly. The addition of this function only makes the package more versatile for Machine Learning operations and estimations. Changes in version 2022-08-20 (2022-08-20) A new function formattedcut added and is working perfectly. The addition of this function is providing more clarity to the package. Quite a number of editorial fixes were undertaken and the codes are working superbly. Changes in version 2022-04-25 (2022-04-25) Mallow's Cp successfully added and documentation improved sufficiently. The codes are working better now and the check results are encouraging. Changes in version 2022-03-15 (2022-03-15) Documentation improved and new functions added to the library. Editorial fixes were made. Changes in version 2021-02-12 (2021-02-12) A small experimental library with only one function, i.e., DynamicForecast and is perfectly working although the check result looks funny. - Added a NEWS.md file to track changes to the package. Changes in version 11.11.26 Changes in version 11.11.23 The new version is coming with a huge improvement. The number of functional forms of the linear regression has increased from seven to 14 based on the Taylor Series expansion of the Box-Cox transformations. In addition, two new plots are added to the suite i.e. fitted and effects plots. Also, Tables of marginal effects are now produced for fast inference from the estimated coefficients. This new version also comes with 47 metrics for assessing model performance and carry out model diagnostics. This new version also comes with the capacity of making prediction about each of the functional forms. There are two new functions coming along with this new version. corplot for custom plotting of the correlation matrix of the variables included in the model. estimate_plot is for plotting the estimated coefficients in their order of significance in the estimated model. In addition, new plot, visual means has made it easier to understand the nature of the distribution of the variables, digest and make inference about the models estimated. Even with this huge improvements, the principle of one line of code is maintained. It can be implemented easily once the data has been cleaned. The structure is Linearsystems(y, x, mod, limit, Test). The argument Test is optional, if omitted, the prediction is made with NULL data. As always, comments, questions and suggestions are welcome.