Package: Dyn4cast 11.11.24
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:
Dyn4cast_11.11.24.tar.gz
Dyn4cast_11.11.24.zip(r-4.5)Dyn4cast_11.11.24.zip(r-4.4)Dyn4cast_11.11.24.zip(r-4.3)
Dyn4cast_11.11.24.tgz(r-4.4-any)Dyn4cast_11.11.24.tgz(r-4.3-any)
Dyn4cast_11.11.24.tar.gz(r-4.5-noble)Dyn4cast_11.11.24.tar.gz(r-4.4-noble)
Dyn4cast_11.11.24.tgz(r-4.4-emscripten)Dyn4cast_11.11.24.tgz(r-4.3-emscripten)
Dyn4cast.pdf |Dyn4cast.html✨
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
- Data - Constrained Forecast of One-sided Integer Response Model
- Quicksummary - Quick Formatted Summary of Machine Learning Data
- Transform - Standardize 'data.frame' for comparable *Machine Learning* prediction and visualization
- garrett_data - Garrett Ranking of Categorical Data
- garrett_table - Garrett Ranking of Categorical Data
- sample - Attach Per Cent Sign to Data
- treatments - Enhanced Estimation of Treatment Effects of Binary Data from Randomized Experiments
data-scienceequal-lenght-forecastforecastingknotsmachine-learningnigeriapredictionregression-modelsspline-modelsstatisticstime-series
Last updated 6 days agofrom:10212ade8a. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 12 2024 |
| R-4.5-win | NOTE | Sep 12 2024 |
| R-4.5-linux | NOTE | Sep 12 2024 |
| R-4.4-win | NOTE | Sep 12 2024 |
| R-4.4-mac | NOTE | Sep 12 2024 |
| R-4.3-win | NOTE | Sep 12 2024 |
| R-4.3-mac | NOTE | Sep 12 2024 |
Exports:constrainedforecastcorplotdata_transformDynamicForecastestimate_plotformattedcutgarrett_rankinginvscaledlogitLinearsystemsMallowsCpMLMetricsModel_factorsPercentquicksummaryscaledlogittreatment_model
Dependencies:askpassbackportsbase64encbayestestRbitbit64blobbroombslibcachemcallrcaretcellrangercheckmateclassclicliprclockcodetoolscolorspaceconflictedcorrplotcpp11crayoncurldata.tabledatawizardDBIdbplyrdiagramdigestdplyrdtplyre1071evaluatefansifarverfastmapfontawesomeforcatsforeachforecastformattablefracdifffsfuturefuture.applygarglegenericsggplot2globalsgluegoogledrivegooglesheets4gowergtablehardhathavenhighrhmshtmltoolshtmlwidgetshttridsinsightipredisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelavalifecyclelistenvlmtestlubridatemagrittrmarginaleffectsMASSMatrixmemoiseMetricsmgcvmimeModelMetricsmodelrmodelsummarymunsellnlmennetnumDerivopensslparallellyparametersperformancepillarpkgconfigplyrprettyunitspROCprocessxprodlimprogressprogressrproxypspurrrquadprogquantmodR6raggrappdirsRColorBrewerRcppRcppArmadilloRcppEigenreadrreadxlrecipesrematchrematch2reprexreshape2rlangrmarkdownrpartrstudioapirvestsassscalesselectrshapeSQUAREMstringistringrsurvivalsyssystemfontstablestextshapingtibbletidyrtidyselecttidyversetimechangetimeDatetinytabletinytextseriesTTRtzdburcautf8uuidvctrsviridisLitevroomwithrxfunxml2xtsyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Constrained Forecast of One-sided Integer Response Model | constrainedforecast Data |
| Custom plot of correlation matrix | corplot |
| Standardize 'data.frame' for comparable *Machine Learning* prediction and visualization | data_transform Transform |
| Plot of Order of Significance of Estimated Regression Coefficients | estimate_plot |
| Convert continuous vector variable to formatted factors | formattedcut |
| Garrett Ranking of Categorical Data | garrett_data garrett_ranking garrett_table |
| Exponential Values after One-Sided Response Integer Variable Forecasting | invscaledlogit |
| Computation of MallowsCp | MallowsCp |
| Collection of Machine Learning Model Metrics for Easy Reference | MLMetrics |
| Attach Per Cent Sign to Data | Percent sample |
| Quick Formatted Summary of Machine Learning Data | Quicksummary quicksummary |
| Scale Parameter for Integer Modeling and Forecast | scaledlogit |
| Enhanced Estimation of Treatment Effects of Binary Data from Randomized Experiments | treatments treatment_model |
