R Observatory: Metrics for nadir version 0.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

CRAN requires the check problems on this package to be fixed before Nov 14 or it will be archived. See the check details

nadir needs hal9001, which CRAN will archive unless its check problems are fixed by Oct 29.

nadir

0.0.1Package record

Super Learning with Flexible Formulas

0packages depend

1.9Kdownloads / year

40.9%test coverage

9/13flavors OK

Overview

About

Maintained by Christian TestaCRAN page ↗GitHub ↗Website ↗Issues ↗

A functional programming based implementation of the super learner algorithm with an emphasis on supporting the use of formulas to specify learners. This approach offers several improvements compared to past implementations including the ability to easily use random-effects specified in formulas (like y ~ (age | strata) + ...) and construction of new learners is as simple as writing and passing a new function. The super learner algorithm was originally described in van der Laan et al. (2007) https://biostats.bepress.com/ucbbiostat/paper222/.

Changes in 0.0.1

Initial CRAN submission.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("nadir", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("ctesta01/nadir")

Development version from ctesta01/nadir. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-nadir

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-nadir

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-nadir

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

4ERROR9OK

Check messages

ERRORexamplesr-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-release-linux-x86_64

r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Running examples in ‘nadir-Ex.R’ failed
The error most likely occurred in:

> ### Name: lnr_glmer
> ### Title: Generalized Linear Mixed-Effects ('lme4::glmer') Learner
> ### Aliases: lnr_glmer
> 
> ### ** Examples
> 
> # random intercepts for each level of cyl column:
> suppressMessages({
+ # singular fit, but that's ok if all you need is prediction:
+ lnr_glmer(mtcars, mpg ~ (1|cyl) + disp + wt, family = Gamma)(mtcars)
+ })
Error in model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE,  : 
  invalid type (closure) for variable '(weights)'
Calls: suppressMessages ... mkFormula -> eval -> eval -> <Anonymous> -> model.frame.default
Execution halted

r-devel-linux-x86_64-debian-gcc

Running examples in ‘nadir-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: lnr_glmer
> ### Title: Generalized Linear Mixed-Effects ('lme4::glmer') Learner
> ### Aliases: lnr_glmer
> 
> ### ** Examples
> 
> # random intercepts for each level of cyl column:
> suppressMessages({
+ # singular fit, but that's ok if all you need is prediction:
+ lnr_glmer(mtcars, mpg ~ (1|cyl) + disp + wt, family = Gamma)(mtcars)
+ })
Error in model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE,  : 
  invalid type (closure) for variable '(weights)'
Calls: suppressMessages ... mkFormula -> eval -> eval -> <Anonymous> -> model.frame.default
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
                  user system elapsed
cv_super_learner 6.211  0.167    8.81

r-release-linux-x86_64

Running examples in ‘nadir-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: lnr_glmer
> ### Title: Generalized Linear Mixed-Effects ('lme4::glmer') Learner
> ### Aliases: lnr_glmer
> 
> ### ** Examples
> 
> # random intercepts for each level of cyl column:
> suppressMessages({
+ # singular fit, but that's ok if all you need is prediction:
+ lnr_glmer(mtcars, mpg ~ (1|cyl) + disp + wt, family = Gamma)(mtcars)
+ })
Error in model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE,  : 
  invalid type (closure) for variable '(weights)'
Calls: suppressMessages ... mkFormula -> eval -> eval -> <Anonymous> -> model.frame.default
Execution halted
Examples with CPU (user + system) or elapsed time > 5s
                    user system elapsed
cv_super_learner  10.699  0.126  12.816
compare_learners   4.655  0.040   7.338
cv_origami_schema  4.362  0.048   6.039

ERRORtestsr-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-release-linux-x86_64

r-devel-linux-x86_64-debian-gcc

Running ‘testthat.R’ [39s/51s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > # This file is part of the standard setup for testthat.
  > # It is recommended that you do not modify it.
  > #
  > # Where should you do additional test configuration?
  > # Learn more about the roles of various files in:
  > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
  > # * https://testthat.r-lib.org/articles/special-files.html
  > 
  > library(testthat)
  > library(nadir)
  > 
  > test_check("nadir")
  Saving _problems/test-continuous-learners-31.R
  Saving _problems/test-continuous-learners-68.R
  [ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-continuous-learners.R:30:3'): all continuous learners can be trained and predict on mtcars ──
  Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = mpg ~ (1 + cyl) + hp)`: inva
...[truncated]...
 └─lme4:::mkFormula(...)
    7.   │   └─base::eval(mf, parent_env)
    8.   │     └─base::eval(mf, parent_env)
    9.   ├─stats::model.frame(...)
   10.   └─stats::model.frame.default(...)
  ── Error ('test-continuous-learners.R:67:3'): all binary learners can be trained and predict on mtcars ──
  Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = am ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
  Backtrace:
       ▆
    1. └─nadir::lnr_glmer(...) at test-continuous-learners.R:67:3
    2.   ├─lme4::glmer(...)
    3.   │ └─base::eval(mc, parent.frame(1L))
    4.   │   └─base::eval(mc, parent.frame(1L))
    5.   ├─lme4::glFormula(...)
    6.   │ └─lme4:::mkFormula(...)
    7.   │   └─base::eval(mf, parent_env)
    8.   │     └─base::eval(mf, parent_env)
    9.   ├─stats::model.frame(...)
   10.   └─stats::model.frame.default(...)
  
  [ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
  Error:
  ! Test failures.
  Execution halted

r-devel-linux-x86_64-fedora-clang

Running ‘testthat.R’ [40s/116s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > # This file is part of the standard setup for testthat.
  > # It is recommended that you do not modify it.
  > #
  > # Where should you do additional test configuration?
  > # Learn more about the roles of various files in:
  > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
  > # * https://testthat.r-lib.org/articles/special-files.html
  > 
  > library(testthat)
  > library(nadir)
  > 
  > test_check("nadir")
  Saving _problems/test-continuous-learners-31.R
  Saving _problems/test-continuous-learners-68.R
  [ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-continuous-learners.R:30:3'): all continuous learners can be trained and predict on mtcars ──
  Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = mpg ~ (1 + cyl) + hp)`: inv
...[truncated]...
 └─lme4:::mkFormula(...)
    7.   │   └─base::eval(mf, parent_env)
    8.   │     └─base::eval(mf, parent_env)
    9.   ├─stats::model.frame(...)
   10.   └─stats::model.frame.default(...)
  ── Error ('test-continuous-learners.R:67:3'): all binary learners can be trained and predict on mtcars ──
  Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = am ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
  Backtrace:
       ▆
    1. └─nadir::lnr_glmer(...) at test-continuous-learners.R:67:3
    2.   ├─lme4::glmer(...)
    3.   │ └─base::eval(mc, parent.frame(1L))
    4.   │   └─base::eval(mc, parent.frame(1L))
    5.   ├─lme4::glFormula(...)
    6.   │ └─lme4:::mkFormula(...)
    7.   │   └─base::eval(mf, parent_env)
    8.   │     └─base::eval(mf, parent_env)
    9.   ├─stats::model.frame(...)
   10.   └─stats::model.frame.default(...)
  
  [ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
  Error:
  ! Test failures.
  Execution halted

r-devel-linux-x86_64-fedora-gcc

Running ‘testthat.R’ [40s/99s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > # This file is part of the standard setup for testthat.
  > # It is recommended that you do not modify it.
  > #
  > # Where should you do additional test configuration?
  > # Learn more about the roles of various files in:
  > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
  > # * https://testthat.r-lib.org/articles/special-files.html
  > 
  > library(testthat)
  > library(nadir)
  > 
  > test_check("nadir")
  Saving _problems/test-continuous-learners-31.R
  Saving _problems/test-continuous-learners-68.R
  [ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-continuous-learners.R:30:3'): all continuous learners can be trained and predict on mtcars ──
  Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = mpg ~ (1 + cyl) + hp)`: inva
...[truncated]...
 └─lme4:::mkFormula(...)
    7.   │   └─base::eval(mf, parent_env)
    8.   │     └─base::eval(mf, parent_env)
    9.   ├─stats::model.frame(...)
   10.   └─stats::model.frame.default(...)
  ── Error ('test-continuous-learners.R:67:3'): all binary learners can be trained and predict on mtcars ──
  Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = am ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
  Backtrace:
       ▆
    1. └─nadir::lnr_glmer(...) at test-continuous-learners.R:67:3
    2.   ├─lme4::glmer(...)
    3.   │ └─base::eval(mc, parent.frame(1L))
    4.   │   └─base::eval(mc, parent.frame(1L))
    5.   ├─lme4::glFormula(...)
    6.   │ └─lme4:::mkFormula(...)
    7.   │   └─base::eval(mf, parent_env)
    8.   │     └─base::eval(mf, parent_env)
    9.   ├─stats::model.frame(...)
   10.   └─stats::model.frame.default(...)
  
  [ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
  Error:
  ! Test failures.
  Execution halted

r-release-linux-x86_64

Running ‘testthat.R’ [55s/62s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > # This file is part of the standard setup for testthat.
  > # It is recommended that you do not modify it.
  > #
  > # Where should you do additional test configuration?
  > # Learn more about the roles of various files in:
  > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
  > # * https://testthat.r-lib.org/articles/special-files.html
  > 
  > library(testthat)
  > library(nadir)
  > 
  > test_check("nadir")
  Saving _problems/test-continuous-learners-31.R
  Saving _problems/test-continuous-learners-68.R
  [ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
  
  ══ Failed tests ════════════════════════════════════════════════════════════════
  ── Error ('test-continuous-learners.R:30:3'): all continuous learners can be trained and predict on mtcars ──
  Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = mpg ~ (1 + cyl) + hp)`: inva
...[truncated]...
 └─lme4:::mkFormula(...)
    7.   │   └─base::eval(mf, parent_env)
    8.   │     └─base::eval(mf, parent_env)
    9.   ├─stats::model.frame(...)
   10.   └─stats::model.frame.default(...)
  ── Error ('test-continuous-learners.R:67:3'): all binary learners can be trained and predict on mtcars ──
  Error in `model.frame.default(data = data, weights = weights, drop.unused.levels = TRUE, formula = am ~ (1 + cyl) + hp)`: invalid type (closure) for variable '(weights)'
  Backtrace:
       ▆
    1. └─nadir::lnr_glmer(...) at test-continuous-learners.R:67:3
    2.   ├─lme4::glmer(...)
    3.   │ └─base::eval(mc, parent.frame(1L))
    4.   │   └─base::eval(mc, parent.frame(1L))
    5.   ├─lme4::glFormula(...)
    6.   │ └─lme4:::mkFormula(...)
    7.   │   └─base::eval(mf, parent_env)
    8.   │     └─base::eval(mf, parent_env)
    9.   ├─stats::model.frame(...)
   10.   └─stats::model.frame.default(...)
  
  [ FAIL 2 | WARN 0 | SKIP 0 | PASS 32 ]
  Error:
  ! Test failures.
  Execution halted

CRAN check page ↗

Slowest check: 6.2 min · r-oldrel-macos-x86_64

Status changes

ERROR9 OK, 4 ERRORNow
ERROR11 OK, 2 ERROR2026-10-24
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.0.1

READMEYes · 1,625 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.0.1Citation fileNoWebsiteYes · pkgdown

The repository also keeps web-only articles.

Help pages: 58 (10 internal)includes a package overview page
Examples that run: 100%44 run in a plain check (2 of them under a condition)
Exported functions with examples: 95%
Documented parameters: 100%
Return-value docs: 98%
Help pages citing references: 0%

Vignettes (1)

Basic Examples HTML

How these are measured

Downloads

1.9K

CRAN downloads in the past year

Rank #19,170 · ~5/day · ~161/mo

Releases R versions

Daily download trend is not available in this view yet.

24930 days

69090 days

1.9K1 year

Compare downloads with other packages →

Also on60 r2u4 autocran

How downloads are counted

Repository

ctesta01/nadir ↗Account: ctesta01

6Stars

2Forks

7Open issues

0Open PRs

0Releases

214Commits

2Commit identities

cross-validationensemble-learningmachine-learningr-packageregression

214 commits · Last activity 2026-10-13 · 0% stars, 30d · Default branch at 1.0.0, ahead of CRAN 0.0.1 (checked 2026-10-21)

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 137
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-08-27 · 52026-07-07 · 6

How these are measured

PracticesBeta

10 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/ctesta01/nadir on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (1)

Contributing guide

Docs source (3)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-10

pkgdown site last built 2025-03-01, before release 0.0.1 (2026-02-20)

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 2 practices

CRAN release process (1)

cran-comments.md

Lint, format, editor (2)

lintrLint workflow

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

23 external dependencies (excludes base and recommended)

Installing nadir adds 54 packages (31 with compiled code, 48 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, lme4 4.3 MB.

Depends (1)

R >= 4.2.0

Imports (20)

dplyr earth future future.apply gbm glmnet hal9001 lifecycle lme4methodsmgcvnnetnnls origami randomForest ranger tibble tidyr VGAM xgboost

LinkingTo (0)

none

Suggests (8)

MASSggplot2 knitr palmerpenguins rmarkdownsurvivaltestthat withr

Enhances (0)

none

Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

hal9001fix by Oct 29

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Christian Testa

Author, Maintainer since 0.0.1 (2026)

Nima Hejazi

Thesis advisor, Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
0.0.1Latest
record
2026-02-20 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-02-20
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.2.0
Download size: 1.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nadir")

Format

Testa, C., & Hejazi, N. (2026). nadir: Super Learning with Flexible Formulas (Version 0.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.nadir

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for nadir version 0.0.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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