fdapace

Functional Data Analysis and Empirical Dynamics

CRAN Package

A versatile package that provides implementation of various methods of Functional Data Analysis (FDA) and Empirical Dynamics. The core of this package is Functional Principal Component Analysis (FPCA), a key technique for functional data analysis, for sparsely or densely sampled random trajectories and time courses, via the Principal Analysis by Conditional Estimation (PACE) algorithm. This core algorithm yields covariance and mean functions, eigenfunctions and principal component (scores), for both functional data and derivatives, for both dense (functional) and sparse (longitudinal) sampling designs. For sparse designs, it provides fitted continuous trajectories with confidence bands, even for subjects with very few longitudinal observations. PACE is a viable and flexible alternative to random effects modeling of longitudinal data. There is also a Matlab version (PACE) that contains some methods not available on fdapace and vice versa. Updates to fdapace were supported by grants from NIH Echo and NSF DMS-1712864 and DMS-2014626. Please cite our package if you use it (You may run the command citation("fdapace") to get the citation format and bibtex entry). References: Wang, J.L., Chiou, J., Müller, H.G. (2016) <doi:10.1146/annurev-statistics-041715-033624>; Chen, K., Zhang, X., Petersen, A., Müller, H.G. (2017) <doi:10.1007/s12561-015-9137-5>.


Documentation


Team


Insights

Last 30 days

This package has been downloaded 2,095 times in the last 30 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 73 times.

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0 downloadsMar 16, 2025
0 downloadsMar 17, 2025
0 downloadsMar 18, 2025
82 downloadsMar 19, 2025
84 downloadsMar 20, 2025
56 downloadsMar 21, 2025
31 downloadsMar 22, 2025
30 downloadsMar 23, 2025
58 downloadsMar 24, 2025
39 downloadsMar 25, 2025
57 downloadsMar 26, 2025
57 downloadsMar 27, 2025
103 downloadsMar 28, 2025
56 downloadsMar 29, 2025
37 downloadsMar 30, 2025
48 downloadsMar 31, 2025
90 downloadsApr 1, 2025
77 downloadsApr 2, 2025
79 downloadsApr 3, 2025
68 downloadsApr 4, 2025
40 downloadsApr 5, 2025
43 downloadsApr 6, 2025
85 downloadsApr 7, 2025
93 downloadsApr 8, 2025
152 downloadsApr 9, 2025
78 downloadsApr 10, 2025
64 downloadsApr 11, 2025
85 downloadsApr 12, 2025
46 downloadsApr 13, 2025
103 downloadsApr 14, 2025
99 downloadsApr 15, 2025
82 downloadsApr 16, 2025
73 downloadsApr 17, 2025
0 downloadsApr 18, 2025
0 downloadsApr 19, 2025
30
152

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 26,421 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was May 01, 2024 with 417 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports6 packages
  • Suggests11 packages
  • Linking To2 packages
  • Reverse Imports15 packages