Package: Dyn4cast 11.11.26

Dyn4cast: Dynamic Modeling and Machine Learning Environment

Estimates, predict and forecast dynamic models as well as Machine Learning metrics which assists in model selection for further analysis. The package also have capabilities to provide tools and metrics that are useful in machine learning and modeling. For example, there is quick summary, percent sign, Mallow's Cp tools and others. The ecosystem of this package is analysis of economic data for national development. The package is so far stable and has high reliability and efficiency as well as time-saving.

Authors:Job Nmadu [aut, cre]

Dyn4cast_11.11.26.tar.gz
Dyn4cast_11.11.26.zip(r-4.7)Dyn4cast_11.11.26.zip(r-4.6)Dyn4cast_11.11.26.zip(r-4.5)
Dyn4cast_11.11.26.tgz(r-4.6-any)Dyn4cast_11.11.26.tgz(r-4.5-any)
Dyn4cast_11.11.26.tar.gz(r-4.7-any)Dyn4cast_11.11.26.tar.gz(r-4.6-any)
Dyn4cast_11.11.26.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
Dyn4cast/json (API)
NEWS

# Install 'Dyn4cast' in R:
install.packages('Dyn4cast', repos = c('https://jobnmadu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jobnmadu/dyn4cast/issues

Pkgdown/docs site:https://jobnmadu.github.io

Datasets:
  • COVID19 - Dynamic Forecast of Five Models and their Ensembles
  • Data - Constrained Forecast of One-sided Integer Response Model
  • garrett_data - Garrett Ranking of Categorical Data
  • garrett_table - Garrett Ranking of Categorical Data
  • linearsystems - Linear Model and various Transformations for Efficiency
  • mdpi1 - Sequential Computation of Dynamic Multidimensional Indices
  • mdpi2 - Sequential Computation of Dynamic Multidimensional Indices
  • Quicksummary - Quick Formatted Summary of Machine Learning Data
  • sampling - Linear Model and various Transformations for Efficiency
  • Transform - Standardize 'data.frame' for comparable *Machine Learning* prediction and visualization
  • treatments - Enhanced Estimation of Treatment Effects of Binary Data from Randomized Experiments

On CRAN:

Conda:

data-scienceequal-lenght-forecastforecastingknotsmachine-learningnigeriapredictionregression-modelsspline-modelsstatisticstime-series

5.94 score 5 stars 58 scripts 23 exports 71 dependencies

Last updated from:720e6119ee. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK256
source / vignettesOK264
linux-release-x86_64OK305
macos-release-arm64OK235
macos-oldrel-arm64OK304
windows-develOK216
windows-releaseOK253
windows-oldrelOK208
wasm-releaseOK167

Exports:constrainedforecastcorplotdata_transformDynamicForecastestimate_plotformattedcutgarrett_rankinggenderindex_constructioninvscaledlogitLinearsystemsMallowsCpmdiMLMetricsmodel_factorsModel_factorsodds_summaryPercentplot_mdiquicksummaryrelative_likertscaledlogittreatment_model

Dependencies:backportsbase64encbayestestRbslibcachemcheckmateclicorrplotcpp11data.tabledatawizarddigestdplyrevaluatefarverfastmapfontawesomeformattableFormulafsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetsinsightisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrmarginaleffectsmemoiseMetricsmimeModelMetricsmodelsummaryparametersperformancepillarpkgconfigpurrrR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalesstringistringrtablestibbletidyrtidyselecttinytabletinytexutf8vctrsviridisLitewithrxfunyamlzoo

Dynamic Modeling and Machine Learning Environment

Rendered fromDyn4cast.Rmdusingknitr::rmarkdownon Jun 19 2026.

Last update: 2026-06-19
Started: 2021-02-17

Getting started with Dyn4cast

Rendered fromstarting.Rmdusingknitr::rmarkdownon Jun 19 2026.

Last update: 2026-04-15
Started: 2025-05-23

Readme and manuals

Help Manual

Help pageTopics
Constrained Forecast of One-sided Integer Response Modelconstrainedforecast Data
Custom plot of correlation matrixcorplot
Standardize 'data.frame' for comparable *Machine Learning* prediction and visualizationdata_transform Transform
Deprecated functions in Dyn4castDyn4cast-deprecated Model_factors
Dynamic Forecast of Five Models and their EnsemblesCOVID19 DynamicForecast
Plot of Order of Significance of Estimated Regression Coefficientsestimate_plot
Convert continuous vector variable to formatted factorsformattedcut
Garrett Ranking of Categorical Datagarrett_data garrett_ranking garrett_table
Create Gender Variablegender
Index Construction for estimation of *Exposure* or *Sensitivity*index_construction
Exponential Values after One-Sided Response Integer Variable Forecastinginvscaledlogit
Linear Model and various Transformations for EfficiencyLinearsystems linearsystems sampling
Computation of MallowsCpMallowsCp
Sequential Computation of Dynamic Multidimensional Indices (MDI)mdi mdpi1 mdpi2
Collection of Machine Learning Model Metrics for Easy ReferenceMLMetrics
Latent Factors Recovery from Variables Loadingsmodel_factors
Odds-Based Measures for Binary and Categorical Modelsodds_summary
Attach Per Cent Sign to DataPercent
Plots of Multidimensional Index Measuresplot_mdi
Quick Formatted Summary of Machine Learning DataQuicksummary quicksummary
Convert Likert Data to Relative Scores and knowledge-based *Adaptive Capacity*relative_likert
Scale Parameter for Integer Modeling and Forecastscaledlogit
Enhanced Estimation of Treatment Effects of Binary Data from Randomized Experimentstreatments treatment_model