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smoots

1.1.4

Nonparametric Estimation of the Trend and Its Derivatives in TS

5packages depend
7.1Kdownloads / year
30.7%test coverage
13/13checks pass

Overview

About
Maintained by Dominik SchulzFirst published 2019-11-267 releasesCRAN page ↗

The nonparametric trend and its derivatives in equidistant time series (TS) with short-memory stationary errors can be estimated. The estimation is conducted via local polynomial regression using an automatically selected bandwidth obtained by a built-in iterative plug-in algorithm or a bandwidth fixed by the user. A Nadaraya-Watson kernel smoother is also built-in as a comparison. With version 1.1.0, a linearity test for the trend function, forecasting methods and backtesting approaches are implemented as well. The smoothing methods of the package are described in Feng, Y., Gries, T., and Fritz, M. (2020) doi:10.1080/10485252.2020.1759598.

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.02
30.7%
Coverage · measured lines
100%
Documentation · exports
9
Dependencies · direct
Check history
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 801 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
79%
Documented parameters
100%
Return-value docs
100%
References docs
52%

Downloads

7.1K
CRAN downloads in the past year
Rank #6,527 · ~20/day · ~596/mo
Daily download trend is not available in this view yet.
56230 days
1.5K90 days
7.1K1 year
Compare downloads with other packages →
Also on452 r2u35 autocran64 c2d4u

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (9)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
5direct
1indirect

Code & Tests

Code Composition
R 5,475 (59%)Rd 3,338 (36%)C++ 451 (5%)
Code characteristics
Object systems
S34
Cyclomatic complexity
3.0 median / 70 max
Test cases
6 / 0.02 per code line

Test coverage

Line coverage

31%

Expression

32.3%

Tests / Examples

30.7% / 60% ex

Functions

51 14 exported

Complexity

17.8 avg / 70 max

Call network

51 nodes / 57 edges

Loading call graph…

Lowest coverage

51 functions
FunctionCycloCoverage
confBounds exp560%
critMatrix exp240%
gsmooth exp300%
knsmooth exp240%
modelCast exp350%
normCast exp470%

Datasets

Bundled datasets · 4
NameClassRows × ColsAlso ships in
daxdata.frame7,475 × 9
gdpUSdata.frame290 × 3
tempNHdata.frame1,668 × 3
vixdata.frame7,452 × 9

People & History

People (5)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Contributors (2)
Contributor
Contributor
Package Timeline

7 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.4Latest
    2023-09-11 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.3
    2021-10-09 · diff ↗
  • 1.1.2
    2021-10-06 · diff ↗
  • 1.1.1
    2021-09-22 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1.0
    2021-05-12 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.1
    2019-12-02 · diff ↗
  • 1.0.0
    2019-11-26
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-11-26
Total releases
7 / 7 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
165 KB / 4 files
Download size
419 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views
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