Package: CLSIEP15 0.1.0

Claucio Antonio Rank Filho

CLSIEP15: Clinical and Laboratory Standards Institute (CLSI) EP15-A3 Calculations

Calculations of "EP15-A3 document. A manual for user verification of precision and estimation of bias" CLSI (2014, ISBN:1-56238-966-1).

Authors:Claucio Antonio Rank Filho [aut, cre]

CLSIEP15_0.1.0.tar.gz
CLSIEP15_0.1.0.tar.gz(r-4.7-any)CLSIEP15_0.1.0.tar.gz(r-4.6-any)
CLSIEP15_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CLSIEP15/json (API)

# Install 'CLSIEP15' in R:

install.packages('CLSIEP15', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

dfc_references - Reference of degrees of freedon based on tau given in the CLSI Manual
ferritin_long - Ferrtin data used in CLSI document examples in wide format
ferritin_wider - Ferrtin data used in CLSI document examples in wide format

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 6 scripts 229 downloads 4 exports 20 dependencies

Last updated from:d3f73244b6. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	122
source / vignettes	OK	179
linux-release-x86_64	OK	129
wasm-release	OK	110

Exports:calculate_aov_infos calculate_bias_interval calculate_uvl_info create_table_ep_15

Dependencies:cli cpp11 dplyr generics glue lifecycle magrittr pillar pkgconfig purrr R6 rlang stringi stringr tibble tidyr tidyselect utf8 vctrs withr

CLSIEP15

Install | Load | Usage | Precision | Bias

Rendered fromCLSIEP15.Rmdusingknitr::rmarkdown

Last update: 2023-11-10
Started: 2023-11-10

Citation

Readme and manuals

Help Manual

Help page	Topics
Calculate bias validation interval	bias_validation_interval
Calculate ANOVA Results and Imprecision Estimates	calculate_aov_infos
Calculate bias interval from TV	calculate_bias_interval
Calculate degrees of freedom of SE C (SE combined) given a selected scenario and additional parameters necessary for the scenario	calculate_df_combined
Calculate degres of freedom within-lab as specified in appendix B	calculate_dfWL
Calculate the UVL factor	calculate_F_uvl
Calculate M	calculate_m
Calculate n0	calculate_n0
Calculate SE combined based on SE X and SE RM	calculate_se_c
Calculate SE RM given a scenario and a list of additional args that can change based on the selected scenario or sub scenario	calculate_se_rm
Calculate SE RM for scenario A when f the manufacturer supplies lower and upper limits and coverage confidence interval (95 or 99...)	calculate_se_rm_a_lowerupper
Calculate SE RM for scenario A when “standard error” or “standard uncertainty” (abbreviated by lowercase “u”) or “combined standard uncertainty” (often denoted by “uC ”)	calculate_se_rm_a_u
Calculate SE RM for scenario A when f the manufacturer supplies an “expanded uncertainty” (abbreviated by uppercase “U”) for the TV and coverage e.g. 95 or 99,	calculate_se_rm_a_Ucoverage
Calculate SE RM for scenario A when f the manufacturer supplies an “expanded uncertainty” (abbreviated by uppercase “U”) for the TV and the “coverage factor” (abbreviated by “k”)	calculate_se_rm_a_Uk
Calculate SE RM for scenario B or C If the reference material has a TV determined by PT or peer group results	calculate_se_rm_scenario_b_c
Calculate SE RM for scenario D or E If the TV represents a conventional quantity value or When working with a commercial QC material supplied with a TV for which the standard error cannot be estimated	calculate_se_rm_scenario_d_e
Calculate SE x	calculate_se_x
Calculate upper verification limit	calculate_uvl_info
Create table for precision calculations	create_table_ep_15
Reference of degrees of freedon based on tau given in the CLSI Manual	dfc_references
Ferrtin data used in CLSI document examples in wide format	ferritin_long
Ferrtin data used in CLSI document examples in wide format	ferritin_wider

Package: CLSIEP15 0.1.0

CLSIEP15: Clinical and Laboratory Standards Institute (CLSI) EP15-A3 Calculations

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)