Showing 10 of total 10 results (show query)
dgbonett
vcmeta:Varying Coefficient Meta-Analysis
Implements functions for varying coefficient meta-analysis methods. These methods do not assume effect size homogeneity. Subgroup effect size comparisons, general linear effect size contrasts, and linear models of effect sizes based on varying coefficient methods can be used to describe effect size heterogeneity. Varying coefficient meta-analysis methods do not require the unrealistic assumptions of the traditional fixed-effect and random-effects meta-analysis methods. For details see: Statistical Methods for Psychologists, Volume 5, <https://dgbonett.sites.ucsc.edu/>.
Maintained by Douglas G. Bonett. Last updated 8 months ago.
54.9 match 1 stars 3.00 score 8 scripts
simsem
semTools:Useful Tools for Structural Equation Modeling
Provides miscellaneous tools for structural equation modeling, many of which extend the 'lavaan' package. For example, latent interactions can be estimated using product indicators (Lin et al., 2010, <doi:10.1080/10705511.2010.488999>) and simple effects probed; analytical power analyses can be conducted (Jak et al., 2021, <doi:10.3758/s13428-020-01479-0>); and scale reliability can be estimated based on estimated factor-model parameters.
Maintained by Terrence D. Jorgensen. Last updated 4 days ago.
3.3 match 79 stars 13.74 score 1.1k scripts 31 dependents
tidyverse
lubridate:Make Dealing with Dates a Little Easier
Functions to work with date-times and time-spans: fast and user friendly parsing of date-time data, extraction and updating of components of a date-time (years, months, days, hours, minutes, and seconds), algebraic manipulation on date-time and time-span objects. The 'lubridate' package has a consistent and memorable syntax that makes working with dates easy and fun.
Maintained by Vitalie Spinu. Last updated 3 months ago.
1.7 match 757 stars 20.95 score 135k scripts 1.9k dependents
paulesantos
avesperu:Access to the List of Birds Species of Peru
Allows access to the data found in the species list featured in the renowned 'List of the Birds of Peru' Plenge, M. A. (2023) <https://sites.google.com/site/boletinunop/checklist>. This publication stands as one of Peru's most comprehensive reviews of bird diversity. The dataset incorporates detailed species accounts and has been meticulously structured for effortless utilization within the R environment.
Maintained by Paul E. Santos Andrade. Last updated 3 months ago.
10.0 match 1 stars 3.45 score 14 scripts
floschuberth
cSEM:Composite-Based Structural Equation Modeling
Estimate, assess, test, and study linear, nonlinear, hierarchical and multigroup structural equation models using composite-based approaches and procedures, including estimation techniques such as partial least squares path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc), generalized structured component analysis (GSCA), generalized structured component analysis with uniqueness terms (GSCAm), generalized canonical correlation analysis (GCCA), principal component analysis (PCA), factor score regression (FSR) using sum score, regression or Bartlett scores (including bias correction using Croon’s approach), as well as several tests and typical postestimation procedures (e.g., verify admissibility of the estimates, assess the model fit, test the model fit etc.).
Maintained by Florian Schuberth. Last updated 17 days ago.
3.1 match 28 stars 9.11 score 56 scripts 2 dependents
cran
vipor:Plot Categorical Data Using Quasirandom Noise and Density Estimates
Generate a violin point plot, a combination of a violin/histogram plot and a scatter plot by offsetting points within a category based on their density using quasirandom noise.
Maintained by Scott Sherrill-Mix. Last updated 1 years ago.
1.8 match 6.86 score 95 dependents
bfast2
strucchangeRcpp:Testing, Monitoring, and Dating Structural Changes: C++ Version
A fast implementation with additional experimental features for testing, monitoring and dating structural changes in (linear) regression models. 'strucchangeRcpp' features tests/methods from the generalized fluctuation test framework as well as from the F test (Chow test) framework. This includes methods to fit, plot and test fluctuation processes (e.g. cumulative/moving sum, recursive/moving estimates) and F statistics, respectively. These methods are described in Zeileis et al. (2002) <doi:10.18637/jss.v007.i02>. Finally, the breakpoints in regression models with structural changes can be estimated together with confidence intervals, and their magnitude as well as the model fit can be evaluated using a variety of statistical measures.
Maintained by Dainius Masiliunas. Last updated 5 months ago.
2.0 match 5 stars 5.18 score 4 scripts 2 dependents
aparamon
mar1s:Multiplicative AR(1) with Seasonal Processes
Multiplicative AR(1) with Seasonal is a stochastic process model built on top of AR(1). The package provides the following procedures for MAR(1)S processes: fit, compose, decompose, advanced simulate and predict.
Maintained by Andrey Paramonov. Last updated 7 years ago.
2.3 match 2.70 score 8 scripts
jh8080
vrtest:Variance Ratio Tests and Other Tests for Martingale Difference Hypothesis
A collection of statistical tests for martingale difference hypothesis, including automatic portmanteau test (Escansiano and Lobato, 2009) <doi:10.1016/j.jeconom.2009.03.001> and automatic variance ratio test (Kim, 2009) <doi:10.1016/j.frl.2009.04.003>.
Maintained by Jae H. Kim. Last updated 2 years ago.
2.3 match 2 stars 2.19 score 77 scripts