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:Job Nmadu [aut, cre]

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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

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

Datasets:

COVID19 - Dynamic Forecast of Five Models and their Ensembles
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
linearsystems - Linear Model and various Transformations for Efficiency
sample - Attach Per Cent Sign to Data
sampling - Linear Model and various Transformations for Efficiency
treatments - Enhanced Estimation of Treatment Effects of Binary Data from Randomized Experiments

On CRAN:

data-science equal-lenght-forecast forecasting knots machine-learning nigeria prediction regression-models spline-models statistics time-series

4.87 score 3 stars 38 scripts 16 exports 166 dependencies

Last updated 29 days agofrom:234693e1a1. Checks:1 OK, 6 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 12 2025
R-4.5-win	NOTE	Jan 12 2025
R-4.5-linux	NOTE	Jan 12 2025
R-4.4-win	NOTE	Jan 12 2025
R-4.4-mac	NOTE	Jan 12 2025
R-4.3-win	NOTE	Jan 12 2025
R-4.3-mac	NOTE	Jan 12 2025

Exports:constrainedforecast corplot data_transform DynamicForecast estimate_plot formattedcut garrett_ranking invscaledlogit Linearsystems MallowsCp MLMetrics model_factors Percent quicksummary scaledlogit treatment_model

Dependencies:askpass backports base64enc bayestestR bit bit64 blob broom bslib cachem callr caret cellranger checkmate class cli clipr clock codetools colorspace conflicted corrplot cpp11 crayon curl data.table datawizard DBI dbplyr diagram digest dplyr dtplyr e1071 evaluate fansi farver fastmap fontawesome forcats foreach forecast formattable fracdiff fs future future.apply gargle generics ggplot2 globals glue googledrive googlesheets4 gower gtable hardhat haven highr hms htmltools htmlwidgets httr ids insight ipred isoband iterators jquerylib jsonlite KernSmooth knitr labeling lattice lava lifecycle listenv lmtest lubridate magrittr marginaleffects MASS Matrix memoise Metrics mgcv mime ModelMetrics modelr modelsummary munsell nlme nnet numDeriv openssl parallelly parameters performance pillar pkgconfig plyr prettyunits pROC processx prodlim progress progressr proxy ps purrr quadprog quantmod R6 ragg rappdirs RColorBrewer Rcpp RcppArmadillo RcppEigen readr readxl recipes rematch rematch2 reprex reshape2 rlang rmarkdown rpart rstudioapi rvest sass scales selectr shape SQUAREM stringi stringr survival sys systemfonts tables textshaping tibble tidyr tidyselect tidyverse timechange timeDate tinytable tinytex tseries TTR tzdb urca utf8 uuid vctrs viridisLite vroom withr xfun xml2 xts yaml zoo

Dyn4cast

Rendered fromDyn4cast.Rmdusingknitr::rmarkdownon Jan 12 2025.

Last update: 2021-02-17
Started: 2021-02-17

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
Dynamic Forecast of Five Models and their Ensembles	COVID19 DynamicForecast
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
Linear Model and various Transformations for Efficiency	Linearsystems linearsystems sampling
Computation of MallowsCp	MallowsCp
Collection of Machine Learning Model Metrics for Easy Reference	MLMetrics
Latent Factors Recovery from Variables Loadings	model_factors
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

Package: Dyn4cast 11.11.24

Dyn4cast: Dynamic Modeling and Machine Learning Environment

Dyn4cast

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