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[ Kaynak: r-cran-marginaleffects  ]

Hakkında

published in section universe

Ubuntu Kaynakları:

• Launchpad
• Hata Raporları
• Source Package
• Publishing History
• Changelog
• Telif Hakkı Dosyası

Source Package r-cran-marginaleffects:

• [r-cran-marginaleffects_0.32.0-3.dsc]
• [r-cran-marginaleffects_0.32.0.orig.tar.gz]
• [r-cran-marginaleffects_0.32.0-3.debian.tar.xz]

Geliştirici:

• Ubuntu MOTU Developers (Posta Arşivi)

Please consider filing a bug or asking a question via Launchpad before contacting the maintainer directly.

Original Maintainers (usually from Debian):

• Debian R Packages Maintainers
• Andreas Tille

It should generally not be necessary for users to contact the original maintainer.

Dış Kaynaklar:

• Ana Sayfa [cran.r-project.org]

Benzer paketler:

• r-cran-emmeans
• librust-proptest+default-dev
• librust-proptest+fork-dev
• librust-proptest+lazy-static-dev
• librust-proptest+std-dev
• librust-proptest+tempfile-dev
• librust-proptest+timeout-dev
• librust-proptest+bit-set-dev
• librust-proptest+quick-error-dev
• librust-proptest+regex-syntax-dev
• librust-proptest+rusty-fork-dev

r-cran-marginaleffects ile İlgili Diğer Paketler

bağımlılıklar

tavsiye edilen

önerilen

enhances

• dep: r-api-4.0

  sanal paketi sağlayan r-base-core

• dep: r-cran-backports

  Reimplementations of Functions Introduced Since R-3.0.0

• dep: r-cran-checkmate

  GNU R fast and versatile argument checks

• dep: r-cran-data.table (>= 1.16.4)

  Extension of `data.frame`

• dep: r-cran-formula

  GNU R package for extended model formulas

• dep: r-cran-generics

  GNU R common S3 generics not provided by base R methods

• dep: r-cran-insight (>= 1.3.0)

  Easy Access to Model Information for Various Model Objects

• dep: r-cran-rlang

  Functions for Base Types and Core R and 'Tidyverse' Features

• dep: r-pkg-team-core-architecture

  Architecture gatekeeper for R packages in Debian

• rec: r-cran-aer

  Applied Econometrics with R

• rec: r-cran-afex

  GNU R package for analyzing factorial experiments using ANOVA or mixed models

• rec: r-cran-amelia

  GNU R package supporting multiple imputation of missing data

• rec: r-cran-arrow

  R package for Apache Arrow data storage management

• rec: r-cran-bayestestr

  Understand and Describe Bayesian Models and Posterior Distributions

• rec: r-cran-bench

  High Precision Timing of R Expressions

• rec: r-cran-bh

  (Virtual) GNU R package to provide BH

• rec: r-cran-blme

  GNU R Bayesian linear mixed-effects models

• rec: r-cran-boot

  GNU R package for bootstrapping functions from Davison and Hinkley

• rec: r-cran-brglm2

  Bias Reduction in Generalized Linear Models

• rec: r-cran-brms

  GNU R Bayesian regression models using 'Stan'

• rec: r-cran-broom

  Convert Statistical Objects into Tidy Tibbles

• rec: r-cran-car

  GNU R Companion to Applied Regression by John Fox

• rec: r-cran-cardata

  GNU R package for datasets for Companion to Applied Regression

• rec: r-cran-collapse

  Advanced and Fast Data Transformation

• rec: r-cran-conflicted

  GNU R alternative conflict resolution strategy

• rec: r-cran-covr

  Test Coverage for Packages

• rec: r-cran-distributional

  Vectorised Probability Distributions

• rec: r-cran-dplyr

  A Grammar of Data Manipulation

• rec: r-cran-emmeans

  Estimated Marginal Means, aka Least-Squares Means

• rec: r-cran-estimatr

  GNU R fast estimators for design-based inference

• rec: r-cran-flexsurv

  Flexible Parametric Survival and Multi-State Models

• rec: r-cran-fontquiver

  set of installed fonts for GNU R

• rec: r-cran-future

  Unified Parallel and Distributed Processing in R for Everyone

• rec: r-cran-future.apply

  apply function to elements in parallel using futures

• rec: r-cran-gam

  Generalized Additive Models for R

• rec: r-cran-geepack

  Generalized Estimating Equation Package for R

• rec: r-cran-ggplot2

  Create Elegant Data Visualisations Using the Grammar of Graphics

• rec: r-cran-ggrepel

  Automatically Position Non-Overlapping Text Labels with 'ggplot2'

• rec: r-cran-glmmtmb

  Generalized Linear Mixed Models using Template Model Builder

• rec: r-cran-haven

  GNU R package to import/export SPSS, Stata and SAS files

• rec: r-cran-here

  GNU R simpler way to find files

• rec: r-cran-kableextra

  construct complex table with 'kable' and pipe syntax in GNU R

• rec: r-cran-knitr

  GNU R package for dynamic report generation using Literate Programming

• rec: r-cran-lme4

  GNU R package for linear mixed effects model fitting

• rec: r-cran-lmertest

  Tests in Linear Mixed Effects Models

• rec: r-cran-magrittr

  A Forward-Pipe Operator for R

• rec: r-cran-mass

  GNU R package of Venables and Ripley's MASS

• rec: r-cran-matchit

  GNU R package of nonparametric matching methods

• rec: r-cran-mclogit

  GNU R multinomial logit models, with or without random effects

• rec: r-cran-mgcv

  GNU R package for multiple parameter smoothing estimation

• rec: r-cran-mice

  GNU R multivariate imputation by chained equations

• rec: r-cran-multcomp

  GNU R package for multiple comparison procedures

• rec: r-cran-mvtnorm

  GNU R package to compute multivariate Normal and T distributions

• rec: r-cran-nlme

  GNU R package for (non-)linear mixed effects models

• rec: r-cran-nnet

  GNU R package for feed-forward neural networks

• rec: r-cran-numderiv

  GNU R package for accurate numerical derivatives

• rec: r-cran-ordinal

  Regression Models for Ordinal Data

• rec: r-cran-parameters

  Processing of Model Parameters

• rec: r-cran-partykit

  A Toolkit for Recursive Partytioning

• rec: r-cran-patchwork

  GNU R the composer of plots

• rec: r-cran-pbapply

  Adding Progress Bar to '*apply' Functions

• rec: r-cran-pkgdown

  make static HTML documentation for a GNU R package

• rec: r-cran-plm

  GNU R estimators and tests for panel data econometrics

• rec: r-cran-polspline

  GNU R package providing polynomial spline fitting

• rec: r-cran-posterior

  GNU R tools for working with posterior distributions

• rec: r-cran-pscl

  GNU R package for discrete data models

• rec: r-cran-purrr

  Functional Programming Tools

• rec: r-cran-quantreg

  GNU R package for quantile regression

• rec: r-cran-quarto

  R Interface to 'Quarto' Markdown Publishing System

• rec: r-cran-rcmdcheck

  Run 'R CMD check' from 'R' and Capture Results

• rec: r-cran-remotes

  R Package Installation from Remote Repositories, Including 'GitHub'

• rec: r-cran-reticulate

  Interface to 'Python'

• rec: r-cran-rmarkdown

  Dynamic Documents for R

• rec: r-cran-rms

  GNU R regression modeling strategies by Frank Harrell

• rec: r-cran-robust

  Port of the S+ "Robust Library"

• rec: r-cran-robustbase

  GNU R package providing basic robust statistics

• rec: r-cran-rsample

  GNU R general resampling infrastructure

• rec: r-cran-rstanarm

  GNU R bayesian applied regression modeling via stan

• rec: r-cran-rstantools

  tools for developing GNU R packages interfacing with 'Stan'

• rec: r-cran-rstpm2

  Smooth Survival Models, Including Generalized Survival Models

• rec: r-cran-rstudioapi

  GNU R package for access to the RStudio API

• rec: r-cran-rsvg

  GNU R render SVG images into PDF, PNG, PostScript, or bitmap arrays

• rec: r-cran-sandwich

  GNU R package for model-robust standard error estimates

• rec: r-cran-scam

  Shape Constrained Additive Models

• rec: r-cran-spelling

  tools for spell checking in GNU R

• rec: r-cran-survey

  Analysis of Complex Survey Samples

• rec: r-cran-survival

  GNU R package for survival analysis

• rec: r-cran-svglite

  'SVG' Graphics Device

• rec: r-cran-systemfit

  GNU R estimating systems of simultaneous equations

• rec: r-cran-systemfonts

  System Native Font Finding

• rec: r-cran-tibble

  Simple Data Frames

• rec: r-cran-tidyr

  Tidy Messy Data

• rec: r-cran-tidyverse

  Easily Install and Load the 'Tidyverse'

• rec: r-cran-tinytest

  Lightweight and Feature Complete Unit Testing Framework

• rec: r-cran-withr

  Run Code 'With' Temporarily Modified Global State

• rec: r-cran-xgboost

  Extreme Gradient Boosting

• rec: r-cran-yaml

  Methods to Convert R Data to YAML and Back

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