latex2exp: Use LaTeX Expressions in Plots

Canonical link: https://rscholar.com/pkg/latex2exp

Stefano Meschiari • View description and downloads View dependencies GitHub project

2015 Published

0.9.6 Version

0 Citations

1 Authors

Referenced by ⇅	Year
ACDC: Analysis of Congruent Diversification Classes (Version 1.0.0)	2022
GNGTools: Tools for Go/No-Go Decision-Making Framework (Version 1.0.0)	2022
CRABS: Congruent Rate Analyses in Birth-Death Scenarios (Version 1.2.0)	2022
CausalQueries: Make, Update, and Query Binary Causal Models (Version 1.1.1)	2020
DiSCos: Distributional Synthetic Controls Estimation (Version 0.1.1)	2024
HaDeX: Analysis and Visualisation of Hydrogen/Deuterium Exchange Mass Spectrometry Data (Version 1.2.2)	2019
HonestDiD: Robust Inference in Difference-in-Differences and Event Study Designs (Version 0.2.6)	2024
ICBioMark: Data-Driven Design of Targeted Gene Panels for Estimating Immunotherapy Biomarkers (Version 0.1.4)	2021
L2E: Robust Structured Regression via the L2 Criterion (Version 2.0)	2022
LearnPCA: Functions, Data Sets and Vignettes to Aid in Learning Principal Components Analysis (PCA) (Version 0.3.4)	2022
LongituRF: Random Forests for Longitudinal Data (Version 0.9)	2020
MSIMST: Bayesian Monotonic Single-Index Regression Model with the Skew-T Likelihood (Version 1.1)	2024
RARfreq: Response Adaptive Randomization with 'Frequentist' Approaches (Version 0.1.5)	2023
RDSsamplesize: RDS Sample Size Estimation and Power Calculation (Version 0.5.0)	2022
SplitKnockoff: Split Knockoffs for Structural Sparsity (Version 2.1)	2021
StanMoMo: Bayesian Mortality Modelling with 'Stan' (Version 1.2.0)	2021
TSDFGS: Training Set Determination for Genomic Selection (Version 2.0)	2019
adestr: Estimation in Optimal Adaptive Two-Stage Designs (Version 1.0.0)	2023
ambit: Simulation and Estimation of Ambit Processes (Version 0.1.2)	2022
bate: Computes Bias-Adjusted Treatment Effect (Version 0.1.0)	2022
bcf: Causal Inference using Bayesian Causal Forests (Version 2.0.2)	2018
covdepGE: Covariate Dependent Graph Estimation (Version 1.0.1)	2022
ctsfeatures: Analyzing Categorical Time Series (Version 1.2.2)	2023
dynr: Dynamic Models with Regime-Switching (Version 0.1.16-105)	2016
equatiomatic: Transform Models into 'LaTeX' Equations (Version 0.3.3)	2020
fdaSP: Sparse Functional Data Analysis Methods (Version 1.1.1)	2023
figuRes2: Support for a Variety of Figure Production Tasks (Version 1.0.0)	2022
geocausal: Causal Inference with Spatio-Temporal Data (Version 0.3.2)	2023
ggforce: Accelerating 'ggplot2' (Version 0.4.2)	2016
ggtern: An Extension to 'ggplot2', for the Creation of Ternary Diagrams (Version 3.5.0)	2013
icmstate: (Version )	0
intRinsic: Likelihood-Based Intrinsic Dimension Estimators (Version 1.1.0)	2022
isotracer: Isotopic Tracer Analysis Using MCMC (Version 1.1.6)	2021
lddmm: Longitudinal Drift-Diffusion Mixed Models (LDDMM) (Version 0.4.2)	2021
lolR: Linear Optimal Low-Rank Projection (Version 2.1)	2018
mSTEM: Multiple Testing of Local Extrema for Detection of Change Points (Version 1.0-1)	2019
oeli: Utilities for Developing Data Science Software (Version 0.7.0)	2023
otsfeatures: Ordinal Time Series Analysis (Version 1.0.0)	2023
papaja: Prepare American Psychological Association Journal Articles with R Markdown (Version 0.1.3)	2022
samplr: Compare Human Performance to Sampling Algorithms (Version 1.0.1)	2024
ssdtools: Species Sensitivity Distributions (Version 2.1.0)	2018
summclust: Module to Compute Influence and Leverage Statistics for Regression Models with Clustered Errors (Version 0.7.2)	2022
tagtools: Work with Data from High-Resolution Biologging Tags (Version 0.2.0)	2023
tsgc: Time Series Methods Based on Growth Curves (Version 0.0)	2024
txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions (Version 0.3.8)	2020

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.