R: Probabilistic Sampling Design and Strategies

# Probabilistic Sampling Design and Strategies

## Documentation for package ‘ProbSamplingI’ version 2.0

- DESCRIPTION file

## Help Pages

ProbSamplingI-package | Design and Sampling Strategies for Parameter Estimation and Sample Size Determination.
BER | Bernoulli Sampling Design
CONGL | Conglomerate Sampling
ESTRAT | Stratified Sampling
M.MET | Multi-Stage Sampling
MAS | Simple Random Sampling Design without Replacement
MCR | Simple Random Sampling Design with Replacement
n.ESTMAS | Sample Size Through Stratified Sampling
n.MAS | Sample Size Using Simple Random Sampling Design Without Replacement
n.MASC | Sample size using simple random sampling design without conglomerate replacement.
PiPT | Sampling Design without Replacement with Proportional Inclusion Probabilities for Sizes
PPT | Sampling Design with Replacement and Size Proportional Selection Probabilities
R.SIS | R-Systematic Sampling Design
WHICH1 | Positions of the components of a vector with respect to another vector