Volume 97 Tahun 2021
Dublin Core
Title
Volume 97 Tahun 2021
Source
https://www.jstatsoft.org/issue/view/v097
Date
2021
Contributor
Fajar Bagus W
Format
PDF
Language
Indonesia
Type
Text
Collection Items
Nonparametric Machine Learning and Efficient Computation with Bayesian Additive Regression Trees: The BART R Package
In this article, we introduce the BART R package which is an acronym for Bayesian additive regression trees. BART is a Bayesian nonparametric, machine learning, ensemble
predictive modeling method for continuous, binary, categorical and…
predictive modeling method for continuous, binary, categorical and…
microsynth: Synthetic Control Methods for Disaggregated and Micro-Level Data in R
The R package microsynth has been developed for implementation of the synthetic
control methodology for comparative case studies involving micro- or meso-level data.
The methodology implemented within microsynth is designed to assess the efficacy…
control methodology for comparative case studies involving micro- or meso-level data.
The methodology implemented within microsynth is designed to assess the efficacy…
Simulating Survival Data Using the simsurv R Package
The simsurv R package allows users to simulate survival (i.e., time-to-event) data from
standard parametric distributions (exponential, Weibull, and Gompertz), two-component
mixture distributions, or a user-defined hazard function. Baseline…
standard parametric distributions (exponential, Weibull, and Gompertz), two-component
mixture distributions, or a user-defined hazard function. Baseline…
The R Package forestinventory: Design-Based Global and Small Area Estimations for Multiphase Forest Inventories
Forest inventories provide reliable evidence-based information to assess the state and
development of forests over time. They typically consist of a random sample of plot locations in the forest that are assessed individually by field crews. Due to…
development of forests over time. They typically consist of a random sample of plot locations in the forest that are assessed individually by field crews. Due to…
svars: An R Package for Data-Driven Identification in Multivariate Time Series Analysis
Structural vector autoregressive (SVAR) models are frequently applied to trace the
contemporaneous linkages among (macroeconomic) variables back to an interplay of orthogonal structural shocks. Under Gaussianity the structural parameters are…
contemporaneous linkages among (macroeconomic) variables back to an interplay of orthogonal structural shocks. Under Gaussianity the structural parameters are…
Ball: An R Package for Detecting Distribution Difference and Association in Metric Spaces
The rapid development of modern technology has created many complex datasets
in non-linear spaces, while most of the statistical hypothesis tests are only available in
Euclidean or Hilbert spaces. To properly analyze the data with more complicated…
in non-linear spaces, while most of the statistical hypothesis tests are only available in
Euclidean or Hilbert spaces. To properly analyze the data with more complicated…
FamEvent: An R Package for Generating and Modeling Time-to-Event Data in Family Designs
FamEvent is a comprehensive R package for simulating and modeling age-at-disease
onset in families carrying a rare gene mutation. The package can simulate complex family
data for variable time-to-event outcomes under three common family study…
onset in families carrying a rare gene mutation. The package can simulate complex family
data for variable time-to-event outcomes under three common family study…
mosum: A Package for Moving Sums in Change-Point Analysis
Time series data, i.e., temporally ordered data, is routinely collected and analysed
in in many fields of natural science, economy, technology and medicine, where it is of
importance to verify the assumption of stochastic stationarity prior to…
in in many fields of natural science, economy, technology and medicine, where it is of
importance to verify the assumption of stochastic stationarity prior to…
multimode: An R Package for Mode Assessment
In several applied fields, multimodality assessment is a crucial task as a previous
exploratory tool or for determining the suitability of certain distributions. The goal of
this paper is to present the utilities of the R package multimode, which…
exploratory tool or for determining the suitability of certain distributions. The goal of
this paper is to present the utilities of the R package multimode, which…
Data Validation Infrastructure for R
Checking data quality against domain knowledge is a common activity that pervades
statistical analysis from raw data to output. The R package validate facilitates this
task by capturing and applying expert knowledge in the form of validation rules:…
statistical analysis from raw data to output. The R package validate facilitates this
task by capturing and applying expert knowledge in the form of validation rules:…