Showing 86 of total 86 results (show query)

alanarnholt

BSDA:Basic Statistics and Data Analysis

Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.

Maintained by Alan T. Arnholt. Last updated 2 years ago.

9.2 match 7 stars 9.11 score 1.3k scripts 6 dependents

hanase

wpp2019:World Population Prospects 2019

Provides data from the United Nation's World Population Prospects 2019.

Maintained by Hana Sevcikova. Last updated 5 years ago.

20.6 match 1 stars 3.17 score 99 scripts 5 dependents

hanase

wpp2017:World Population Prospects 2017

Provides data from the United Nation's World Population Prospects 2017.

Maintained by Hana Sevcikova. Last updated 5 years ago.

20.6 match 1 stars 2.56 score 30 scripts 4 dependents

r-forge

R2MLwiN:Running 'MLwiN' from Within R

An R command interface to the 'MLwiN' multilevel modelling software package.

Maintained by Zhengzheng Zhang. Last updated 13 days ago.

6.8 match 5.35 score 125 scripts

hanase

wpp2015:World Population Prospects 2015

Provides data from the United Nation's World Population Prospects 2015.

Maintained by Hana Sevcikova. Last updated 6 years ago.

20.6 match 1.52 score 33 scripts

hanase

wpp2012:World Population Prospects 2012

Data from the United Nation's World Population Prospects 2012

Maintained by Hana Sevcikova. Last updated 11 years ago.

20.6 match 1.48 score 8 scripts 1 dependents

cran

rainbow:Bagplots, Boxplots and Rainbow Plots for Functional Data

Visualizing functional data and identifying functional outliers.

Maintained by Han Lin Shang. Last updated 1 years ago.

5.4 match 4.79 score 150 dependents

alanarnholt

PASWR:Probability and Statistics with R

Functions and data sets for the text Probability and Statistics with R.

Maintained by Alan T. Arnholt. Last updated 3 years ago.

4.0 match 2 stars 4.70 score 241 scripts

alanarnholt

PASWR2:Probability and Statistics with R, Second Edition

Functions and data sets for the text Probability and Statistics with R, Second Edition.

Maintained by Alan T. Arnholt. Last updated 3 years ago.

4.0 match 1 stars 4.11 score 260 scripts

mahmoudelkasabi

DHS.rates:Calculates Demographic Indicators

Calculates key indicators such as fertility rates (Total Fertility Rate (TFR), General Fertility Rate (GFR), and Age Specific Fertility Rate (ASFR)) using Demographic and Health Survey (DHS) women/individual data, childhood mortality probabilities and rates such as Neonatal Mortality Rate (NNMR), Post-neonatal Mortality Rate (PNNMR), Infant Mortality Rate (IMR), Child Mortality Rate (CMR), and Under-five Mortality Rate (U5MR), and adult mortality indicators such as the Age Specific Mortality Rate (ASMR), Age Adjusted Mortality Rate (AAMR), Age Specific Maternal Mortality Rate (ASMMR), Age Adjusted Maternal Mortality Rate (AAMMR), Age Specific Pregnancy Related Mortality Rate (ASPRMR), Age Adjusted Pregnancy Related Mortality Rate (AAPRMR), Maternal Mortality Ratio (MMR) and Pregnancy Related Mortality Ratio (PRMR). In addition to the indicators, the 'DHS.rates' package estimates sampling errors indicators such as Standard Error (SE), Design Effect (DEFT), Relative Standard Error (RSE) and Confidence Interval (CI). The package is developed according to the DHS methodology of calculating the fertility indicators and the childhood mortality rates outlined in the "Guide to DHS Statistics" (Croft, Trevor N., Aileen M. J. Marshall, Courtney K. Allen, et al. 2018, <https://dhsprogram.com/Data/Guide-to-DHS-Statistics/index.cfm>) and the DHS methodology of estimating the sampling errors indicators outlined in the "DHS Sampling and Household Listing Manual" (ICF International 2012, <https://dhsprogram.com/pubs/pdf/DHSM4/DHS6_Sampling_Manual_Sept2012_DHSM4.pdf>).

Maintained by Mahmoud Elkasabi. Last updated 1 years ago.

6.4 match 2 stars 2.48 score 15 scripts

mrc-ide

first90:The first90 model

Implements the Shiny90 model for estimating progress towards the UNAIDS "first 90" target for HIV awareness of status in sub-Saharan Africa.

Maintained by Jeffrey Eaton. Last updated 4 months ago.

3.5 match 5 stars 4.53 score 2 scripts 3 dependents

hanase

wpp2010:World Population Prospects 2010

Data from the United Nation's World Population Prospects 2010

Maintained by Hana Sevcikova. Last updated 12 years ago.

13.8 match 1.00 score 8 scripts

pik-piam

mrcommons:MadRat commons Input Data Library

Provides useful functions and a common structure to all the input data required to run models like MAgPIE and REMIND of model input data.

Maintained by Jan Philipp Dietrich. Last updated 4 days ago.

2.0 match 1 stars 6.70 score 16 scripts 15 dependents

hanase

wpp2008:World Population Prospects 2008

Data from the United Nation's World Population Prospects 2008

Maintained by Hana Sevcikova. Last updated 11 years ago.

6.9 match 1.00 score 8 scripts

probablyshubham

NUETON:Nitrogen Use Efficiency Toolkit on Numerics

Comprehensive R package designed to facilitate the calculation of Nitrogen Use Efficiency (NUE) indicators using experimentally derived data. The package incorporates 23 parameters categorized into six fertilizer-based, four plant-based, three soil-based, three isotope-based, two ecology-based, and four system-based indicators, providing a versatile platform for NUE assessment. As of the current version, 'NUETON' serves as a starting point for users to compute NUE indicators from their experimental data. Future updates are planned to enhance the package's capabilities, including robust data visualization tools and error margin consideration in calculations. Additionally, statistical methods will be integrated to ensure the accuracy and reliability of the calculated indicators. All formulae used in 'NUETON' are thoroughly referenced within the source code, and the package is released as open source software. Users are encouraged to provide feedback and contribute to the improvement of this package. It is important to note that the current version of 'NUETON' is not intended for rigorous research purposes, and users are responsible for validating their results. The package developers do not assume liability for any inaccuracies in calculations. This package includes content from Congreves KA, Otchere O, Ferland D, Farzadfar S, Williams S and Arcand MM (2021) 'Nitrogen Use Efficiency Definitions of Today and Tomorrow.' Front. Plant Sci. 12:637108. <doi:10.3389/fpls.2021.637108>. The article is available under the Creative Commons Attribution License (CC BY) C. 2021 Congreves, Otchere, Ferland, Farzadfar, Williams and Arcand.

Maintained by Shubham Love. Last updated 1 years ago.

5.9 match 1.00 score

pik-piam

mrvalidnitrogen:madrat data preparation for validation purposes of nitrogen budgets

Package contains routines to prepare data for validation exercises.

Maintained by Benjamin Leon Bodirsky. Last updated 1 years ago.

2.0 match 2.18 score 1 scripts

cran

hiphop:Parentage Assignment using Bi-Allelic Genetic Markers

Can be used for paternity and maternity assignment and outperforms conventional methods where closely related individuals occur in the pool of possible parents. The method compares the genotypes of offspring with any combination of potentials parents and scores the number of mismatches of these individuals at bi-allelic genetic markers (e.g. Single Nucleotide Polymorphisms). It elaborates on a prior exclusion method based on the Homozygous Opposite Test (HOT; Huisman 2017 <doi:10.1111/1755-0998.12665>) by introducing the additional exclusion criterion HIPHOP (Homozygous Identical Parents, Heterozygous Offspring are Precluded; Cockburn et al., in revision). Potential parents are excluded if they have more mismatches than can be expected due to genotyping error and mutation, and thereby one can identify the true genetic parents and detect situations where one (or both) of the true parents is not sampled. Package 'hiphop' can deal with (a) the case where there is contextual information about parentage of the mother (i.e. a female has been seen to be involved in reproductive tasks such as nest building), but paternity is unknown (e.g. due to promiscuity), (b) where both parents need to be assigned, because there is no contextual information on which female laid eggs and which male fertilized them (e.g. polygynandrous mating system where multiple females and males deposit young in a common nest, or organisms with external fertilisation that breed in aggregations). For details: Cockburn, A., Penalba, J.V.,Jaccoud, D.,Kilian, A., Brouwer, L., Double, M.C., Margraf, N., Osmond, H.L., van de Pol, M. and Kruuk, L.E.B. (in revision). HIPHOP: improved paternity assignment among close relatives using a simple exclusion method for bi-allelic markers. Molecular Ecology Resources, DOI to be added upon acceptance.

Maintained by Martijn van de Pol. Last updated 5 years ago.

0.5 match 1 stars 2.70 score