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stfit

0.99.9

Spatio-Temporal Functional Imputation Tool

0packages depend
2.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Weicheng ZhuFirst published 2020-10-022 releasesCRAN page ↗GitHub ↗

A general spatiotemporal satellite image imputation method based on sparse functional data analytic techniques. The imputation method applies and extends the Functional Principal Analysis by Conditional Estimation (PACE). The underlying idea for the proposed procedure is to impute a missing pixel by borrowing information from temporally and spatially contiguous pixels based on the best linear unbiased prediction.

Install

Health

CRAN checks
13OK
Slowest check: 10.2 min · r-devel-linux-x86_64-fedora-clang
Code health
None
Tests · ratio 0.00
not tracked
Coverage
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
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
67%
Documented parameters
94%
Return-value docs
82%
References docs
0%

Downloads

2.6K
CRAN downloads in the past year
Rank #13,271 · ~7/day · ~215/mo
Daily download trend is not available in this view yet.
26130 days
81490 days
2.6K1 year
Compare downloads with other packages →
Also on398 r2u31 autocran27 c2d4u

Repository

Repository
0Stars
2Forks
5Open issues
0Open PRs
0Releases
183Commits
2Contributors
License GPL-3.0 · 183 commits · Last activity 2022-10-18

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/mingsnu/stfit on 2026-07-19.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (1)
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Code Composition
R 1,424 (49%)Rd 842 (29%)C++ 665 (23%)
Code characteristics
Cyclomatic complexity
2.0 median / 34 max

Test coverage

Line coverage

Expression

Tests / Examples

Functions

67 21 exported

Complexity

4.2 avg / 34 max

Call network

67 nodes / 53 edges

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Lowest coverage

Per-function coverage is not measured for this package yet.

Datasets

Bundled datasets · 2
NameClassRows × ColsAlso ships in
landsat106tbl_df/tbl/data.frame990 × 963
landsat2tbl_df/tbl/data.frame990 × 963

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

2 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
  • R
    R 4.3.0 released · 2023-04-21
  • 0.99.9Latest
    2022-10-18 · current release · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.99.8
    2020-10-02
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-10-02
Total releases
2 / 6 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
870 KB / 2 files
Download size
899 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views
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