Package: modelit 1.4.10

Philippe Grosjean

modelit: 'SciViews::R' - Statistical Models

Create and use statistical models (linear, general, nonlinear...) with extensions to support rich-formatted tables, equations and plots for the 'SciViews::R' dialect.

Authors:Philippe Grosjean [aut, cre], Guyliann Engels [aut]

modelit_1.4.10.tar.gz
modelit_1.4.10.zip(r-4.7)modelit_1.4.10.zip(r-4.6)modelit_1.4.10.zip(r-4.5)
modelit_1.4.10.tgz(r-4.6-any)modelit_1.4.10.tgz(r-4.5-any)
modelit_1.4.10.tar.gz(r-4.7-any)modelit_1.4.10.tar.gz(r-4.6-any)
modelit_1.4.10.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
modelit/json (API)

# Install 'modelit' in R:

install.packages('modelit', repos = c('https://sciviews.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sciviews/modelit/issues

Pkgdown/docs site:https://www.sciviews.org

On CRAN:

sciviews statsmodels

3.45 score 1 stars 19 scripts 15 exports 164 dependencies

Last updated from:4c095a03fc. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	240
source / vignettes	OK	316
linux-release-x86_64	NOTE	243
macos-release-arm64	NOTE	135
macos-oldrel-arm64	NOTE	131
windows-devel	NOTE	197
windows-release	NOTE	185
windows-oldrel	NOTE	217
wasm-release	OK	177

Exports:add_predictions add_residuals anova_autoplot.lm autoplot.nls fit_model geom_ref_line glm_lm_mae nls_qae rmse rsquare summary_

Dependencies:abind askpass backports base64enc boot broom broom.mixed bslib cachem car carData chart checkmate cli cluster coda codetools collapse colorspace commonmark corrplot cowplot cpp11 curl data.table data.trame deldir Deriv digest doBy dplyr equatags equatiomatic evaluate farver fastmap flextable fontawesome fontBitstreamVera fontLiberation fontquiver forcats forecast foreign Formula fracdiff fs furrr future gdtools generics ggplot2 ggplotify ggpubr ggrepel ggsci ggsignif globals glue gridExtra gridGraphics gtable highr Hmisc htmlTable htmltools htmlwidgets httpuv igraph interp isoband jpeg jquerylib jsonlite katex knitr labeling later lattice latticeExtra lifecycle listenv lme4 lmtest magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa modelr nlme nloptr nnet numDeriv officer openssl otel parallelly pbkrtest pillar pkgconfig png polynom promises proto purrr quantreg R6 ragg rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang rmarkdown rpart rstatix rstudioapi S7 sass scales shiny sourcetools SparseM stringi stringr survival svBase svFlow sys systemfonts tabularise textshaping tibble tidyr tidyselect timeDate tinytable tinytex urca utf8 uuid V8 vctrs viridis viridisLite withr xfun xml2 xslt xtable yaml yulab.utils zeallot zip zoo

'SciViews::R' - Statistical Models

Example | Nonlinear model

Rendered frommodelit.Rmdusingknitr::rmarkdown

Last update: 2025-08-28
Started: 2021-08-05

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
'SciViews::R' - Statistical Models	modelit-package modelit
ANOVA tables with the original object as an attribute	anova_
ANOVA Tables for Enhanced Linear Models ('lm_')	anova.lm_
Transform an lm or glm model into a function	as.function.lm
Transform an nls model into a function	as.function.nls
Chart an lm or glm model or diagnose its residuals visually	autoplot.lm chart.lm
Chart an nls model or diagnose its residuals visually	autoplot.nls chart.nls
Get a LaTeX equation from an nls or the summary of a nls models	equation.nls equation.summary.nls
Fit a parsnip model and manipulate it as a base R model like lm	AIC.model_fit anova.model_fit as.function.model_fit BIC.model_fit chart.model_fit coef.model_fit confint.model_fit cooks.distance.model_fit deviance.model_fit family.model_fit fitted.model_fit fit_model formula.model_fit hatvalues.model_fit labels.model_fit nobs.model_fit plot.model_fit residuals.model_fit rstandard.model_fit summary.model_fit variable.names.model_fit vcov.model_fit
Fitting Generalized Linear Models with Enhanced Output (Experimental)	glm_
Fitting Linear Models with Enhanced Output (Experimental)	lm_
Reexport of modelr functions	add_predictions add_residuals geom_ref_line mae modelr-reexport qae rmse rsquare
Fitting Non Linear Models with Enhanced Output (Experimental)	nls_
Object summaries with the original object as an attribute	summary_
Summarizing Linear Model Fits with Enhanced Output	summary.lm_
Create a rich-formatted table using the coefficients of a glm object	tabularise_coef.glm
Create a rich-formatted table using the coefficients of an lm object	tabularise_coef.lm
Create a rich-formatted table using the coefficients of the nls object	tabularise_coef.nls
Create a rich-formatted table using the table of coefficients of the summary.glm object	tabularise_coef.summary.glm
Create a rich-formatted table using the table of coefficients of the summary.lm object	tabularise_coef.summary.lm
Create a rich-formatted table using the table of coefficients of the summary.nls object	tabularise_coef.summary.nls
Create a rich-formatted table from an anova object	tabularise_default.anova
Create a rich-formatted table from an aov object	tabularise_default.aov
Create a rich-formatted table from a glm object	tabularise_default.glm
Create a rich-formatted table from an lm object	tabularise_default.lm
Create a rich-formatted table from a nls object	tabularise_default.nls
Create a rich-formatted table from a summary.glm object	tabularise_default.summary.glm
Create a rich-formatted table from an summary.lm object	tabularise_default.summary.lm
Create a rich-formatted table from the summary of a nls object	tabularise_default.summary.nls
Create a glance version of the glm object as a rich-formatted table	tabularise_glance.glm
Glance version of the lm object into a flextable object	tabularise_glance.lm
Glance version of the nls object into a flextable object	tabularise_glance.nls
Tidy version of the anova object into a flextable object	tabularise_tidy.anova
Tidy version of the aov object into a flextable object	tabularise_tidy.aov
Create a tidy version of the glm object as a rich-formatted table	tabularise_tidy.glm
Tidy version of the lm object into a flextable object	tabularise_tidy.lm
Tidy version of the nls object into a flextable object	tabularise_tidy.nls