writexl - Export Data Frames to Excel 'xlsx' Format

Zero-dependency data frame to xlsx exporter based on 'libxlsxwriter' <https://libxlsxwriter.github.io>. Fast and no Java or Excel required.

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excellibxlsxwriterxlsxzlib

15.84 score 215 stars 249 dependents 19k scripts 306k downloads

PKNCA - Perform Pharmacokinetic Non-Compartmental Analysis

Compute standard Non-Compartmental Analysis (NCA) parameters for typical pharmacokinetic analyses and summarize them.

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ncanoncompartmental-analysispharmacokinetics

13.49 score 84 stars 3 dependents 679 scripts 2.6k downloads

nlmixr2lib - A Model Library for 'nlmixr2'

A model library for 'nlmixr2'. The models include (and plan to include) pharmacokinetic, pharmacodynamic, and disease models used in pharmacometrics. Where applicable, references for each model are included in the meta-data for each individual model. The package also includes model composition and modification functions to make model updates easier.

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9.29 score 10 stars 520 scripts 265 downloads

ggtibble - Create Tibbles and Lists of 'ggplot' Figures for Reporting

Create tibbles and lists of 'ggplot' figures that can be modified as easily as regular 'ggplot' figures. Typical use cases are for creating reports or web pages where many figures are needed with different data and similar formatting.

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4.48 score 3 stars 9 scripts 193 downloads

meddra.read - Load and Use 'MedDRA' Data for Clinical Trials

'MedDRA' data is used for defining adverse events in clinical studies. You can load and merge the data for use in categorizing the adverse events using this package. The package requires the data licensed from 'MedDRA' <https://www.meddra.org/>.

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4.30 score 2 stars 4 scripts 167 downloads

tabtibble - Simplify Reporting Many Tables

Simplify reporting many tables by creating tibbles of tables. With 'tabtibble', a tibble of tables is created with captions and automatic printing using knit_print().

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reportingtables

4.18 score 3 stars 4 scripts 175 downloads

thinr - Binary Image Thinning Algorithms

Thinning (skeletonization) algorithms for binary raster images. Provides seven algorithms behind a single dispatching function: Zhang-Suen (Zhang and Suen 1984) <doi:10.1145/357994.358023>, Guo-Hall (Guo and Hall 1989) <doi:10.1145/62065.62074>, a 2-D adaptation of Lee (Lee, Kashyap, and Chu 1994) <doi:10.1006/cgip.1994.1042>, K3M (Saeed, Tabedzki, Rybnik, and Adamski 2010) <doi:10.2478/v10006-010-0024-4>, the parallel form commonly attributed to Hilditch (1969, in 'Machine Intelligence 4'), OPTA / SPTA (Naccache and Shinghal 1984), and Holt and colleagues (1987) <doi:10.1145/12527.12531>. Also provides the medial axis transform (Blum 1967) and a distance transform implementation following Felzenszwalb and Huttenlocher (2012) <doi:10.4086/toc.2012.v008a019>. The drop-in thinImage() matches the signature of thinImage() in the 'EBImage' package on Bioconductor so existing code can switch parsers without changes. The wider thin() API selects the algorithm by name.

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cpp

4.00 score 26 downloads

equil2 - Calculate Urinary Saturation with the EQUIL2 Algorithm

Saturation of ionic substances in urine is calculated based on sodium, potassium, calcium, magnesium, ammonia, chloride, phosphate, sulfate, oxalate, citrate, ph, and urate. This program is intended for research use, only. The code within is translated from EQUIL2 Visual Basic code based on Werness, et al (1985) "EQUIL2: a BASIC computer program for the calculation of urinary saturation" <doi:10.1016/s0022-5347(17)47703-2> to R. The Visual Basic code was kindly provided by Dr. John Lieske of the Mayo Clinic.

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3.70 score 4 scripts 162 downloads

nlmixr2targets - Targets for 'nlmixr2' Pipelines

'nlmixr2' often has long runtimes. A pipeline toolkit tailored to 'nlmixr2' workflows leverages 'targets' and 'nlmixr2' to ease reproducible workflows. 'nlmixr2targets' ensures minimal rework in model development with 'nlmixr2' and 'targets' by simplifying and standardizing models and datasets.

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3.00 score 6 scripts

hidradenitis - Calculate Clinical Scores for Hidradenitis Suppurativa (HS), a Dermatologic Disease

Calculate clinical scores for hidradenitis suppurativa (HS), a dermatologic disease. The scores are typically used for evaluation of efficacy in clinical trials. The scores are not commonly used in clinical practice. The specific scores implemented are Hidradenitis Suppurativa Clinical Response (HiSCR) (Kimball, et al. (2015) <doi:10.1111/jdv.13216>), Hidradenitis Suppurativa Area and Severity Index Revised (HASI-R) (Goldfarb, et al. (2020) <doi:10.1111/bjd.19565>), hidradenitis suppurativa Physician Global Assessment (HS PGA) (Marzano, et al. (2020) <doi:10.1111/jdv.16328>), and the International Hidradenitis Suppurativa Severity Score System (IHS4) (Zouboulis, et al. (2017) <doi:10.1111/bjd.15748>).

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3.00 score 1 stars 2 scripts 162 downloads

formulops - Mathematical Operations on R Formula

Perform mathematical operations on R formula (add, subtract, multiply, etc.) and substitute parts of formula.

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2.70 score 1 stars 2 scripts 221 downloads

geboes.score - Evaluate the Geboes Score for Histology in Ulcerative Colitis

Evaluate and validate the Geboes score for histological assessment of inflammation in ulcerative colitis. The original Geboes score from Geboes, et al. (2000) <doi:10.1136/gut.47.3.404>, binary version from Li, et al. (2019) <doi:10.1093/ecco-jcc/jjz022>, and continuous version from Magro, et al. (2020) <doi:10.1093/ecco-jcc/jjz123> are all described and implemented.

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2.70 score 2 scripts 123 downloads