hd: hd

GITHUB

pat-alt/deepvars: Deep Vector Autoregression

R: hd
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {

hd: Institutional Directory Information (HD)

GITHUB

Btibert3/ripeds: A data package for the NCES IPEDS set of data files

R: Institutional Directory Information (HD)
hdR Documentation
Institutional Directory Information (HD)

hd: Institutional Characteristics: HD

GITHUB

Sorenson-Impact/tidyipeds: What the Package Does (One Line, Title Case)

R: Institutional Characteristics: HD
hdR Documentation
Institutional Characteristics: HD

statistics: Test Statistics for Network Populations

GITHUB

astamm/nevada: Network-Valued Data Analysis

of the desired test statistic.
Examples
n1 <- 30L

statistics: Test Statistics for Network Populations

GITHUB

ilovato/nevada: Network-Valued Data Analysis

of the desired test statistic.
Examples
n1 <- 30L

statistics: Test Statistics for Network Populations

CRAN

nevada: Network-Valued Data Analysis

of the desired test statistic.
Examples
n1 <- 30L

hd: Historical Decomposition

GITHUB

mboeck11/BGVAR: Bayesian Global Vector Autoregressions

that calculates historical decomposition (HD) of the time series and the structural error.
Usage
hd(x, rotation.matrix=NULL

hd: Historical Decomposition

CRAN

BGVAR: Bayesian Global Vector Autoregressions

that calculates historical decomposition (HD) of the time series and the structural error.
Usage
hd(x, rotation.matrix=NULL

hd: Historical Decomposition

GITHUB

mboeck11/BTSM: Bayesian Time Series Models

historical decomposition (HD) of the time series and the structural error.
Usage
hd(x, R=NULL, verbose=TRUE)

HD: Computes extended Hausdorff distance between two

CRAN

iccTraj: Estimates the Intraclass Correlation Coefficient for Trajectory Data

"))
# Hausdorff distance
HD(pts1,pts2,q=1)

hd: Historical decomposition for SVAR Models

GITHUB

alexanderlange53/SVAR_Identification_Package: Data-Driven Identification of SVAR Models

( ),id.cv( ),id.dc( ) or id.ngml( ).
Usage
hd(x, series = 1, transition = 0)

hd: Hodgkin's Disease

GITHUB

ehrlinger/randomForestSRC: Fast Unified Random Forests for Survival, Regression, and Classification (RF-SRC)

time first failure time
status censoring status: 0=censored, 1=relapse, 2=death
Source

hd:

GITHUB

vlulla/vlutils: Common utilities that I find useful

hdR Documentation
hd
Usage

hd: Calculate homeostatic disregulation in a dataset

GITHUB

bjb40/bioage: Klemera-Doubal biological age algorithm.

in a dataset.
Description
Calculate homeostatic disregulation in a dataset.

hd: Estimate quantiles by Harrell & Davis 1982

GITHUB

ppernot/ErrViewLIb: Library for ErrView

1982
Description
Estimate quantiles by Harrell & Davis 1982

hds: NASA Hypobaric Decompression Sickness Marker Data

CRAN

cenROC: Estimating Time-Dependent ROC Curve and AUC for Censored Data

for the subjects in NASA Hypobaric Decompression Sickness Data.
Usage
data(hds)

hd: Historical Decomposition

GITHUB

kvasilopoulos/smgenerics: Common S3 Generics for stats and models

hd(x, ...)
Arguments
A fitted object.

hds: Hazard discrimination summary estimator

GITHUB

liangcj/hds: Hazard Discrimination Summary

Value
A data frame with three columns: 1) the evaluation times, 2) the HDS
estimates at each evaluation time, and 3

hd:

GITHUB

musto101/wilcox_R: What the package does (short line)

(along = x)
w <- pbeta(vec/n, m1, m2) - pbeta((vec - 1)/n, m1, m2)
y <- sort(x)