Multiple Indicator Cluster Survey (MICS) 2014 Household
Questionnaire Data for Punjab, Pakistan
R package PakPMICS2014HH version 0.1.0

Multiple Indicator Cluster Survey (MICS) 2014 Household Listing
Questionnaire Data for Punjab, Pakistan
R package PakPMICS2014HL version 0.1.1

Multiple Indicator Cluster Survey (MICS) 2014 Women
Questionnaire Data for Punjab, Pakistan
R package PakPMICS2014Wm version 0.1.1

Multiple Indicator Cluster Survey (MICS) 2017-18 Data for
Punjab, Pakistan

Multiple Indicator Cluster Survey (MICS) 2017-18 Birth History
of Children Questionnaire Data for Punjab, Pakistan
R package PakPMICS2018bh version 0.1.0

Multiple Indicator Cluster Survey (MICS) 2017-18 Children Age
5-17 Questionnaire Data for Punjab, Pakistan
R package PakPMICS2018fs version 0.1.0

Multiple Indicator Cluster Survey (MICS) 2017-18 Household
Questionnaire Data for Punjab, Pakistan
R package PakPMICS2018hh version 0.1.0

Multiple Indicator Cluster Survey (MICS) 2017-18 Maternal
Mortality Questionnaire Data for Punjab, Pakistan
R package PakPMICS2018mm version 0.1.0

Multiple Indicator Cluster Survey (MICS) 2017-18 Men
Questionnaire Data for Punjab, Pakistan
R package PakPMICS2018mn version 0.1.0

Cite 'R' Packages on the Fly in 'R Markdown' and 'Quarto'

Significance Tests for Palaeoenvironmental Reconstructions

Prepare and Explore Data for Palaeobiological Analyses

Sparse Regression with Paired Covariates

Partitioned Local Depth for Community Structure in Data

Simulating Assemblage Models of Abundance for the Fossil Record

Download and Process Data from the Paleobiology Database

Geometric Morphometric Tools for Paleobiology

Pattern-Oriented Modeling Framework for Coupled Niche-Population
Paleo-Climatic Models
R package paleopop version 2.1.7

Paleontological and Phylogenetic Analyses of Evolution

Comprehensive Collection of Color Palettes

Create Colour Scales and Legend from Continuous or Categorical
Vectors

Methods for Colour Vectors and Colour Palettes

GPL Palettes Copied from 'Gimp' and 'Inkscape'

Fitting Point Process Models via the Palm Likelihood