selection.index 1.2.0

• add new function meanPerformance() for calculating the mean performance in randomized block design data
• remove some typos from the documentation

selection.index 1.1.4

• removed two functions sel.index() and sel.score.rank() for easy implementation of comb.indices()

selection.index 1.1.3

• Added a new function gen.advance() for genetic advance calculation

selection.index 1.1.2

• rank column added in rcomb.indices() for ranking of index
• No major changes

selection.index 1.1.1

• Added a new function rcomb.indices() for calculating possible selection indices excluding single character or particular index from all possible selection indices

selection.index 1.1.0

• Bug fixes in phen.varcov()
• Added a new function comb.indices() for calculating possible selection indices with the group/pairs of traits/characters

selection.index 1.0.0

The aim of most plant breeding programs is the simultaneous improvement of several characters. An objective method involving simultaneous selection for several attributes then becomes necessary. It has been recognized that the most rapid improvements in the economic value is from selection applied simultaneously to all the characters which determine the economic value of a plant, and appropriate assigned weights to each character according to their economic importance, heritability, and correlations between characters. So the selection for economic value is a complex matter. If the component characters are combined together into an index in such a way that when selection is applied to the index as if the index is the character to be improved, the most rapid improvement of economic value is expected. Such an index was first proposed by Smith (1937 doi:10.1111/j.1469-1809.1936.tb02143.x) based on the Fisher's (1936 doi:10.1111/j.1469-1809.1936.tb02137.x) "discriminant function" Dabholkar (1999
https://books.google.co.in/books?id=mlFtumAXQ0oC&lpg=PA4&ots=Xgxp1qLuxS&dq=elements%20of%20biometrical%20genetics&lr&pg=PP1#v=onepage&q&f=false). In this package selection index is calculated based on the Smith (1937) selection index method.