Referenced by ⇅
Year
composits : Compositional, Multivariate and Univariate Time Series Outlier
Ensemble (Version 0.1.1)
2020
dhReg : Dynamic Harmonic Regression (Version 0.1.1)
2019
odpc : One-Sided Dynamic Principal Components (Version 2.0.5)
2017
robets : Forecasting Time Series with Robust Exponential Smoothing (Version 1.4)
2016
sutteForecastR : Forecasting Data using Alpha-Sutte Indicator (Version 0.1)
2017
TimeSeries.OBeu : Time Series Analysis "OpenBudgets.eu" (Version 1.2.4)
2018
caschrono : Sries Temporelles Avec R (Version 2.4)
2011
OptiSembleForecasting : Optimization Based Ensemble Forecasting Using MCS Algorithm (Version 0.1.0)
2022
Mcomp : Data from the M-Competitions (Version 2.8)
2009
eemdARIMA : EEMD Based Auto Regressive Integrated Moving Average Model (Version 0.1.0)
2022
eemdTDNN : EEMD and Its Variant Based Time Delay Neural Network Model (Version 0.1.0)
2021
epicasting : Ewnet: An Ensemble Wavelet Neural Network for Forecasting and Epicasting (Version 0.1.0)
2023
epimdr : Functions and Data for "Epidemics: Models and Data in R" (Version 0.6-5)
2018
epimdr2 : Functions and Data for "Epidemics: Models and Data in R (2nd Edition)" (Version 1.0-9)
2022
ACV : Optimal Out-of-Sample Forecast Evaluation and Testing under Stationarity (Version 1.0.2)
2022
AEDForecasting : Change Point Analysis in ARIMA Forecasting (Version 0.20.0)
2015
AER : Applied Econometrics with R (Version 1.2-14)
2008
AFR : Toolkit for Regression Analysis of Kazakhstan Banking Sector Data (Version 0.3.6)
2022
ARIMAANN : Time Series Forecasting using ARIMA-ANN Hybrid Model (Version 0.1.0)
2022
ATAforecasting : Automatic Time Series Analysis and Forecasting using the Ata Method (Version 0.0.60)
2021
AriGaMyANNSVR : Hybrid ARIMA-GARCH and Two Specially Designed ML-Based Models (Version 0.1.0)
2023
AutoAds : Advertisement Metrics Calculation (Version 0.1.0)
2023
BETS : Brazilian Economic Time Series (Version 0.4.9)
2016
BayesARIMAX : Bayesian Estimation of ARIMAX Model (Version 0.1.1)
2020
CEEMDANML : CEEMDAN Decomposition Based Hybrid Machine Learning Models (Version 0.1.0)
2023
CausalMBSTS : MBSTS Models for Causal Inference and Forecasting (Version 0.1.1)
2020
ConsReg : Fits Regression & ARMA Models Subject to Constraints to the Coefficient (Version 0.1.0)
2020
CvmortalityMult : Cross-Validation for Multi-Population Mortality Models (Version 1.0.7)
2024
DIMORA : Diffusion Models R Analysis (Version 0.3.6)
2018
Dowd : Functions Ported from 'MMR2' Toolbox Offered in Kevin Dowd's Book Measuring Market Risk (Version 0.12)
2015
ECTTDNN : Cointegration Based Timedelay Neural Network Model (Version 0.1.0)
2021
EEMDelm : Ensemble Empirical Mode Decomposition and Its Variant Based ELM Model (Version 0.1.1)
2021
EMDANNhybrid : Empirical Mode Decomposition Based Artificial Neural Network Model (Version 0.2.0)
2021
EQUALrepeat : Algorithm Driven Time Series Analysis for Researchers without Coding Skills (Version 0.4.0)
2024
EWSmethods : Forecasting Tipping Points at the Community Level (Version 1.3.1)
2023
EXPAR : Fitting of Exponential Autoregressive (EXPAR) Model (Version 0.1.0)
2024
EXPARMA : Fitting of Exponential Autoregressive Moving Average (EXPARMA) Model (Version 0.1.0)
2023
EventDetectR : Event Detection Framework (Version 0.3.5)
2018
ForeComp : Size-Power Tradeoff Visualization for Equal Predictive Ability of Two Forecasts (Version 0.9.0)
2023
ForecastComb : Forecast Combination Methods (Version 1.3.1)
2017
ForecastTB : Test Bench for the Comparison of Forecast Methods (Version 1.0.1)
2020
GeomComb : (Geometric) Forecast Combination Methods (Version 1.0)
2016
ICompELM : Independent Component Analysis Based Extreme Learning Machine (Version 0.1.0)
2024
InterNL : Time Series Intervention Model Using Non-Linear Function (Version 0.1.0)
2024
KarsTS : An Interface for Microclimate Time Series Analysis (Version 2.4.1)
2017
MAPA : Multiple Aggregation Prediction Algorithm (Version 2.0.7)
2014
MARSS : Multivariate Autoregressive State-Space Modeling (Version 3.11.9)
2010
MSGARCHelm : Hybridization of MS-GARCH and ELM Model (Version 0.1.0)
2020
MortalityGaps : The Double-Gap Life Expectancy Forecasting Model (Version 1.0.0)
2018
OBL : Optimum Block Length (Version 0.2.1)
2022
OOS : Out-of-Sample Time Series Forecasting (Version 1.0.0)
2021
PH1XBAR : Phase I Shewhart X-Bar Chart (Version 0.11.2)
2021
PSF : Forecasting of Univariate Time Series Using the Pattern Sequence-Based Forecasting (PSF) Algorithm (Version 0.5)
2016
PVplr : Performance Loss Rate Analysis Pipeline (Version 0.1.2)
2020
PortalHacienda : Acceder Con R a Los Datos Del Portal De Hacienda (Version 0.1.7)
2020
RcmdrPlugin.RiskDemo : R Commander Plug-in for Risk Demonstration (Version 3.2)
2017
Rlgt : Bayesian Exponential Smoothing Models with Trend Modifications (Version 0.2-2)
2019
Rssa : A Collection of Methods for Singular Spectrum Analysis (Version 1.1)
2011
SBAGM : Search Best ARIMA, GARCH, and MS-GARCH Model (Version 0.1.0)
2020
SLBDD : Statistical Learning for Big Dependent Data (Version 0.0.4)
2021
ScottKnottESD : The Scott-Knott Effect Size Difference (ESD) Test (Version 2.0.3)
2016
StMoMo : Stochastic Mortality Modelling (Version 0.4.1)
2015
TCIU : Spacekime Analytics, Time Complexity and Inferential Uncertainty (Version 1.2.7)
2020
TSANN : Time Series Artificial Neural Network (Version 0.1.0)
2021
TSF : Two Stage Forecasting (TSF) for Long Memory Time Series in Presence of Structural Break (Version 0.1.1)
2017
TSPred : Functions for Benchmarking Time Series Prediction (Version 5.1)
2015
TSSVM : Time Series Forecasting using SVM Model (Version 0.1.0)
2022
TSclust : Time Series Clustering Utilities (Version 1.3.1)
2013
TSstudio : Functions for Time Series Analysis and Forecasting (Version 0.1.7)
2018
Tcomp : Data from the 2010 Tourism Forecasting Competition (Version 1.0.1)
2016
TextForecast : Regression Analysis and Forecasting Using Textual Data from a Time-Varying Dictionary (Version 0.1.3)
2019
TrendSLR : Estimating Trend, Velocity and Acceleration from Sea Level Records (Version 1.0)
2019
Tushare : Interface to 'Tushare Pro' API (Version 0.1.4)
2018
VMDML : Variational Mode Decomposition Based Machine Learning Models (Version 0.1.1)
2022
WRTDStidal : Weighted Regression for Water Quality Evaluation in Tidal Waters (Version 1.1.4)
2016
WaveletANN : Wavelet ANN Model (Version 0.1.2)
2019
WaveletArima : Wavelet-ARIMA Model for Time Series Forecasting (Version 0.1.2)
2017
WaveletETS : Wavelet Based Error Trend Seasonality Model (Version 0.1.0)
2023
WaveletGARCH : Fit the Wavelet-GARCH Model to Volatile Time Series Data (Version 0.1.1)
2019
WaveletML : Wavelet Decomposition Based Hybrid Machine Learning Models (Version 0.1.0)
2023
WaveletRF : Wavelet-RF Hybrid Model for Time Series Forecasting (Version 0.1.0)
2022
WaveletSVR : Wavelet-SVR Hybrid Model for Time Series Forecasting (Version 0.1.0)
2022
ZRA : Dynamic Plots for Time Series Forecasting (Version 0.2)
2015
autoTS : Automatic Model Selection and Prediction for Univariate Time Series (Version 0.9.11)
2020
autostsm : Automatic Structural Time Series Models (Version 3.1.5)
2021
bayesRecon : Probabilistic Reconciliation via Conditioning (Version 0.3.1)
2023
bayesforecast : Bayesian Time Series Modeling with Stan (Version 1.0.1)
2021
beyondWhittle : Bayesian Spectral Inference for Time Series (Version 1.2.1)
2017
bfast : Breaks for Additive Season and Trend (Version 1.7.0)
2009
bmgarch : Bayesian Multivariate GARCH Models (Version 2.0.0)
2020
caretForecast : Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms (Version 0.1.1)
2022
clmplus : Tool-Box of Chain Ladder Plus Models (Version 1.0.0)
2022
coconots : Convolution-Closed Models for Count Time Series (Version 1.1.3)
2023
corset : Arbitrary Bounding of Series and Time Series Objects (Version 0.1-5)
2017
cricketr : Analyze Cricketers and Cricket Teams Based on ESPN Cricinfo Statsguru (Version 0.0.26)
2015
daltoolbox : Leveraging Experiment Lines to Data Analytics (Version 1.0.767)
2023
decomposedPSF : Time Series Prediction with PSF and Decomposition Methods (EMD and EEMD) (Version 0.2)
2017
demography : Forecasting Mortality, Fertility, Migration and Population Data (Version 2.0)
2010
dendRoAnalyst : A Tool for Processing and Analyzing Dendrometer Data (Version 0.1.5)
2020
dendrometeR : Analyzing Dendrometer Data (Version 1.1.0)
2016
dlookr : Tools for Data Diagnosis, Exploration, Transformation (Version 0.6.3)
2018
dplR : Dendrochronology Program Library in R (Version 1.7.7)
2007
dsa : Seasonal Adjustment of Daily Time Series (Version 1.0.12)
2018
equatiomatic : Transform Models into 'LaTeX' Equations (Version 0.3.3)
2020
estadistica : Fundamentos De Estadistica Descriptiva e Inferencial (Version 0.2.3)
2021
expsmooth : Data Sets from "Forecasting with Exponential Smoothing" (Version 2.3)
2009
fDMA : Dynamic Model Averaging and Dynamic Model Selection for Continuous Outcomes (Version 2.2.7)
2017
fable : Forecasting Models for Tidy Time Series (Version 0.4.0)
2019
fableCount : INGARCH and GLARMA Models for Count Time Series in Fable Framework (Version 0.1.0)
2024
fastcpd : Fast Change Point Detection via Sequential Gradient Descent (Version 0.14.3)
2023
flap : Forecast Linear Augmented Projection (Version 0.2.0)
2024
fma : Data Sets from "Forecasting: Methods and Applications" by Makridakis, Wheelwright & Hyndman (1998) (Version 2.5)
2012
forecTheta : Forecasting Time Series by Theta Models (Version 2.6.2)
2015
forecastHybrid : Convenient Functions for Ensemble Time Series Forecasts (Version 5.0.19)
2016
forecastLSW : Forecasting Routines for Locally Stationary Wavelet Processes (Version 1.0)
2023
forecasteR : Time Series Forecast System (Version 2.0.2)
2022
fpp : Data for "Forecasting: principles and practice" (Version 0.5)
2011
fpp2 : Data for "Forecasting: Principles and Practice" (2nd Edition) (Version 2.5)
2017
fracdiff : Fractionally Differenced ARIMA aka ARFIMA(P,d,q) Models (Version 1.5-3)
1999
ftsa : Functional Time Series Analysis (Version 6.4)
2009
garma : Fitting and Forecasting Gegenbauer ARMA Time Series Models (Version 0.9.23)
2020
ggfortify : Data Visualization Tools for Statistical Analysis Results (Version 0.4.17)
2015
globaltrends : Download and Measure Global Trends Through Google Search Volumes (Version 0.0.14)
2022
gratis : Generating Time Series with Diverse and Controllable Characteristics (Version 1.0.7)
2020
grattan : Australian Tax Policy Analysis (Version 2024.1.1)
2017
harbinger : A Unified Time Series Event Detection Framework (Version 1.0.787)
2023
healthyR.ts : The Time Series Modeling Companion to 'healthyR' (Version 0.3.1)
2021
highcharter : A Wrapper for the 'Highcharts' Library (Version 0.9.4)
2016
hpiR : House Price Indexes (Version 0.3.2)
2018
hts : Hierarchical and Grouped Time Series (Version 6.0.3)
2010
hybridts : Hybrid Time Series Forecasting Using Error Remodeling Approach (Version 0.1.0)
2023
iClick : A Button-Based GUI for Financial and Economic Data Analysis (Version 1.5)
2015
iForecast : Machine Learning Time Series Forecasting (Version 1.0.8)
2020
imputeTS : Time Series Missing Value Imputation (Version 3.3)
2015
imputeTestbench : Test Bench for the Comparison of Imputation Methods (Version 3.0.3)
2016
its.analysis : Running Interrupted Time Series Analysis (Version 1.6.0)
2019
ivx : Robust Econometric Inference (Version 1.1.0)
2019
knnp : Time Series Prediction using K-Nearest Neighbors Algorithm (Parallel) (Version 2.0.0)
2018
kssa : Known Sub-Sequence Algorithm (Version 0.0.1)
2022
lazybar : Progress Bar with Remaining Time Forecast Method (Version 0.1.0)
2020
lfl : Linguistic Fuzzy Logic (Version 2.2.1)
2015
lifecontingencies : Financial and Actuarial Mathematics for Life Contingencies (Version 1.3.12)
2011
lineartestr : Linear Specification Testing (Version 1.0.0)
2020
mFilter : Miscellaneous Time Series Filters (Version 0.1-5)
2006
matman : Material Management (Version 1.1.3)
2020
memochange : Testing for Structural Breaks under Long Memory and Testing for Changes in Persistence (Version 1.1.1)
2019
midasr : Mixed Data Sampling Regression (Version 0.8)
2013
mlmts : Machine Learning Algorithms for Multivariate Time Series (Version 1.1.2)
2022
mlr : Machine Learning in R (Version 2.19.2)
2013
modeltime : The Tidymodels Extension for Time Series Modeling (Version 1.3.1)
2020
mrf : Multiresolution Forecasting (Version 0.1.6)
2021
msltrend : Improved Techniques to Estimate Trend, Velocity and Acceleration from Sea Level Records (Version 1.0)
2016
ngboostForecast : Probabilistic Time Series Forecasting (Version 0.1.1)
2022
nnfor : Time Series Forecasting with Neural Networks (Version 0.9.9)
2017
nortsTest : Assessing Normality of Stationary Process (Version 1.1.2)
2020
nullabor : Tools for Graphical Inference (Version 0.3.12)
2011
origami : Generalized Framework for Cross-Validation (Version 1.0.7)
2017
outliers.ts.oga : Efficient Outlier Detection in Heterogeneous Time Series Databases (Version 0.0.1)
2024
pander : An R 'Pandoc' Writer (Version 0.6.5)
2012
paramsim : Parameterized Simulation (Version 0.1.0)
2023
performance : Assessment of Regression Models Performance (Version 0.12.4)
2019
pmml : Generate PMML for Various Models (Version 2.5.2)
2007
popstudy : Applied Techniques to Demographic and Time Series Analysis (Version 1.0.1)
2022
portalr : Create Useful Summaries of the Portal Data (Version 0.4.3)
2018
portes : Portmanteau Tests for Time Series Models (Version 6.0)
2010
predtoolsTS : Time Series Prediction Tools (Version 0.1.1)
2017
rainbow : Bagplots, Boxplots and Rainbow Plots for Functional Data (Version 3.8)
2009
rcrimeanalysis : An Implementation of Crime Analysis Methods (Version 0.5.0)
2019
riem : Accesses Weather Data from the Iowa Environment Mesonet (Version 0.3.2)
2016
sarima : Simulation and Prediction with Seasonal ARIMA Models (Version 0.9.3)
2017
seastests : Seasonality Tests (Version 0.15.4)
2019
seer : Feature-Based Forecast Model Selection (Version 1.1.8)
2020
setartree : SETAR-Tree - A Novel and Accurate Tree Algorithm for Global Time Series Forecasting (Version 0.2.1)
2023
shinyTempSignal : Explore Temporal and Other Phylogenetic Signals (Version 0.0.8)
2022
spduration : Split-Population Duration (Cure) Regression (Version 0.17.2)
2015
stR : Seasonal Trend Decomposition Using Regression (Version 0.7)
2016
stlARIMA : STL Decomposition and ARIMA Hybrid Forecasting Model (Version 0.1.0)
2021
stlELM : Hybrid Forecasting Model Based on STL Decomposition and ELM (Version 0.1.1)
2021
stlTDNN : STL Decomposition and TDNN Hybrid Time Series Forecasting (Version 0.1.0)
2021
sweep : Tidy Tools for Forecasting (Version 0.2.5)
2017
tactile : New and Extended Plots, Methods, and Panel Functions for 'lattice' (Version 0.2.1)
2017
texreg : Conversion of R Regression Output to LaTeX or HTML Tables (Version 1.39.4)
2012
thief : Temporal Hierarchical Forecasting (Version 0.3)
2016
timetk : A Tool Kit for Working with Time Series (Version 2.9.0)
2017
trajectories : Classes and Methods for Trajectory Data (Version 0.2-9)
2014
tsBSS : Blind Source Separation and Supervised Dimension Reduction for Time Series (Version 1.0.0)
2015
tsDyn : Nonlinear Time Series Models with Regime Switching (Version 11.0.4.1)
2006
tsSelect : Execution of Time Series Models (Version 0.1.8)
2016
tsbox : Class-Agnostic Time Series (Version 0.4.2)
2018
tsfeatures : Time Series Feature Extraction (Version 1.1.1)
2019
tsoutliers : Detection of Outliers in Time Series (Version 0.6-10)
2014
tspredit : Time Series Prediction Integrated Tuning (Version 1.0.777)
2023
tsutils : Time Series Exploration, Modelling and Forecasting (Version 0.9.4)
2019
tsviz : Easy and Interactive Time Series Visualization (Version 0.1.0)
2019
tswge : Time Series for Data Science (Version 2.1.0)
2016
uotm : Uncertainty of Time Series Model Selection Methods (Version 0.1.6)
2023
utsf : Univariate Time Series Forecasting (Version 1.0.0)
2024
vctsfr : Visualizing Collections of Time Series Forecasts (Version 0.1.1)
2023
vmdTDNN : VMD Based Time Delay Neural Network Model (Version 0.1.1)
2022
Showing 1-199 of 199
RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN).
Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.