readExpertGuess: Read ExpertGuess

In pik-piam/mrremind: MadRat REMIND Input Data Package

Read ExpertGuess

Description

Read-in data that are based on expert guess

Usage

readExpertGuess(subtype)

Arguments

subtype

Type of data that should be read. One of Chinese_Steel_Production: "Smooth" production estimates by Robert Pietzcker (2022). industry_max_secondary_steel_share: Maximum share of secondary steel production in total steel production and years between which a linear convergence from historic to target shares is to be applied. cement_production_convergence_parameters: convergence year and level (relative to global average) to which per-capita cement demand converges ies prtp CCSbounds costsTradePeFinancial tradeContsraints: parameter by Nicolas Bauer (2024) for the region specific trade constraints, values different to 1 activate constraints and the value is used as effectiveness to varying degrees such as percentage numbers

Value

magpie object of the data

Author(s)

Lavinia Baumstark

See Also

readSource

Examples

## Not run: 
a <- readSource(type = "ExpertGuess", subtype = "ies")

## End(Not run)

pik-piam/mrremind documentation built on Sept. 18, 2024, 2:58 p.m.