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otsad  

Online Time Series Anomaly Detectors
View on CRAN: Click here


Download and install otsad package within the R console
Install from CRAN:
install.packages("otsad")

Install from Github:
library("remotes")
install_github("cran/otsad")

Install by package version:
library("remotes")
install_version("otsad", "0.2.0")



Attach the package and use:
library("otsad")
Maintained by
Alaiñe Iturria
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-01
Latest Update:
Description:
Implements a set of online fault detectors for time-series, called: PEWMA see M. Carter et al. (2012) , SD-EWMA and TSSD-EWMA see H. Raza et al. (2015) , KNN-CAD see E. Burnaev et al. (2016) , KNN-LDCD see V. Ishimtsev et al. (2017) and CAD-OSE see M. Smirnov (2018) . The first three algorithms belong to prediction-based techniques and the last three belong to window-based techniques. In addition, the SD-EWMA and PEWMA algorithms are algorithms designed to work in stationary environments, while the other four are algorithms designed to work in non-stationary environments.
How to cite:
Alaiñe Iturria (2019). otsad: Online Time Series Anomaly Detectors. R package version 0.2.0, https://cran.r-project.org/web/packages/otsad. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2019-04-01 18:40), 0.2.0 (2019-09-06 11:50)
Other packages that cited otsad R package
View otsad citation profile
Other R packages that otsad depends, imports, suggests or enhances
Functions, R codes and Examples using the otsad R package
Some associated functions: ContextualAnomalyDetector . CpKnnCad . CpPewma . CpSdEwma . CpTsSdEwma . GetDetectorScore . GetLabels . GetNullAndPerfectScores . GetNumTrainingValues . GetWindowLength . GetWindowsLimits . IpKnnCad . IpPewma . IpSdEwma . IpTsSdEwma . NormalizeScore . OcpPewma . OcpSdEwma . OcpTsSdEwma . OipPewma . OipSdEwma . OipTsSdEwma . PlotDetections . ReduceAnomalies . TravelTime_387 . TravelTime_451 . Twitter_volume_AAPL . Twitter_volume_AMZN . Twitter_volume_CRM . Twitter_volume_CVS . Twitter_volume_FB . Twitter_volume_GOOG . Twitter_volume_IBM . Twitter_volume_KO . Twitter_volume_PFE . Twitter_volume_UPS . ambient_temperature_system_failure . art_daily_flatmiddle . art_daily_jumpsdown . art_daily_jumpsup . art_daily_nojump . art_increase_spike_density . art_load_balancer_spikes . cpu_utilization_asg_misconfiguration . ec2_cpu_utilization_24ae8d . ec2_cpu_utilization_53ea38 . ec2_cpu_utilization_5f5533 . ec2_cpu_utilization_77c1ca . ec2_cpu_utilization_825cc2 . ec2_cpu_utilization_ac20cd . ec2_cpu_utilization_fe7f93 . ec2_disk_write_bytes_1ef3de . ec2_disk_write_bytes_c0d644 . ec2_network_in_257a54 . ec2_network_in_5abac7 . ec2_request_latency_system_failure . elb_request_count_8c0756 . exchange_2_cpc_results . exchange_2_cpm_results . exchange_3_cpc_results . exchange_3_cpm_results . exchange_4_cpc_results . exchange_4_cpm_results . grok_asg_anomaly . iio_us_east1_i_a2eb1cd9_NetworkIn . machine_temperature_system_failure . nyc_taxi . occupancy_6005 . occupancy_t4013 . rds_cpu_utilization_cc0c53 . rds_cpu_utilization_e47b3b . rogue_agent_key_hold . rogue_agent_key_updown . speed_6005 . speed_7578 . speed_t4013 . 
Some associated R codes: ContextualAD.R . GetDetectorScore.R . GetDetectorScore_GetLabels.R . GetDetectorScore_GetNullAndPerfectScores.R . GetDetectorScore_getWindowLength.R . GetDetectorScore_getWindowsLimits.R . GetDetectorScore_normalizeScore.R . GetNumTrainingValues.R . PlotDetections.R . ReduceAnomalies.R . cp_knn_cad.R . cp_pewma.R . cp_sd_ewma.R . cp_tssd_ewma.R . data.R . ip_knn_cad.R . ip_pewma.R . ip_sd_ewma.R . ip_tssd_ewma.R . ocp_pewma.R . ocp_sd_ewma.R . ocp_tssd_ewma.R . oip_pewma.R . oip_sd_ewma.R . oip_tssd_ewma.R .  Full otsad package functions and examples
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