Package nopp. R topics documented: August 21, 2015
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- Willa Richards
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From this document you will learn the answers to the following questions:
Where do arguments start with data?
What did the nonpolicy components of the Nash Equilibria in Probabilistic , Multiparty Spatial Models with Nonpolicy?
What is used to compare initial party positions?
Transcription
1 Package nopp August 21, 2015 Type Package Title Nash Optimal Party Positions Version Date Author Luigi Curini, Stefano M. Iacus Maintainer Stefano M. Iacus Estimation of party/candidate ideological positions that correspond to a Nash equilibrium along a one-dimensional space. License GPL (>= 2) Depends R (>= 2.10), mlogit NeedsCompilation no Repository CRAN Date/Publication :54:46 R topics documented: nopp-package equilibrium italy italy2006.lin italy2006.wide noppnews plot Index 12 1
2 2 equilibrium nopp-package Nash Optimal Party Positions Details Estimation of party/candidate ideological positions that correspond to a Nash equilibrium along a one-dimensional space Package: nopp Type: Package Version: 1.0 Date: License: GPL (>= 2) nopp is a package for R which enables to compute party/candidate ideological positions that correspond to a Nash Equilibrium along a one-dimensional space. It accommodates alternative motivations in (each) party strategy while allowing to estimate the uncertainty around their optimal positions through two different procedures (bootstrap and MC). Author(s) Luigi Curini, Stefano M. Iacus Maintainer: Luigi Curini <luigi.curini@unimi.it>, Stefano M. Iacus <stefano.iacus@unimi.it> References Adams, James F., Samuel Merrill III, and Bernard Grofman (2005). A Unified Theory of Party Competition. Cambridge: Cambridge University Press Merrill, Samuel III, and James Adams (2001), Computing Nash Equilibria in Probabilistic, Multiparty Spatial Models with Nonpolicy Components, Political Analysis, 9, equilibrium Nash Optimal Party Positions Nash Optimal Party Positions
3 equilibrium 3 Usage equilibrium(start, model, data, tolerance = 1e-05, max.iter = 100, coal = 0, alpha = 0, margin = NULL, fixed = NULL, gamma = 0, boot = 0, MC = 0, self.var = "self", prox.var="prox", position=null, votes=null, quadratic=true) Arguments start model data initial party positions. Numerical vector. Optional. the mlogit model analysis the data set tolerance tolerance in the convergence of Nash equilibrium. Default 1e-5 max.iter max iteration to convergence in Nash equilibrium. Default 100 coal alpha margin fixed gamma boot MC Details Value Note self.var prox.var position votes quadratic See vignette. an object of class a list specificing electoral coalitions. See Details. the weight of coalition vote-share in party utility function. Default = 0. See Details. a list specifing the vote share margin to be maximized of a party/coalition against other party/coalition. See Details. a list of fixed party positions. See Details. the weight among nash and fixed arty position. Default=0. See Details. number of boostrap replications. See Details. number of Monte Carlo replications. See Details. character: name of self-placement of respondent. See Details. character: name of party-placement variable. See Details. a named list: of perceived position of parties. See Details. a named list: of actual vote share at election. See Details. a logical value: if FALSE the linear utility function is used to calculate the proximity. See Details. See the vignette for detailed explanations and other working examples. Author(s) Luigi Curini, Stefano M. Iacus
4 4 equilibrium References Adams, James F., Samuel Merrill III, and Bernard Grofman (2005). A Unified Theory of Party Competition. Cambridge: Cambridge University Press Merrill, Samuel III, and James Adams (2001), Computing Nash Equilibria in Probabilistic, Multiparty Spatial Models with Nonpolicy Components, Political Analysis, 9, See Also See Also as plot. Examples ## Not run: data(italy2006) str(italy2006) italy2006[1:2,1:14] election <- mlogit.data(italy2006, shape="wide", choice="vote", varying=c(5:14), sep="_") str(election) m <- mlogit(vote~prox+partyid gov_perf+sex+age+education, election, reflevel = "UL") summary(m) true.pos <- list(fi=7.59, UL=3.50, RC=1.95, AN=8.08, UDC=5.66) true.votes <- list(fi=.24, UL=.40, RC=.10, AN=.18, UDC=.08) # model 1: comparison against true votes and party positions <- equilibrium(model=m, data=election, pos=true.pos, votes=true.votes) par(mfrow=c(3,1)) plot() par(mfrow=c(1,1)) # model 2: colation behaviours coal1 <- list(fi=1, UL=2, RC=2, AN=1, UDC=1) alpha1 <- list(fi=0.5, UL=0.5, RC=0.5, AN=0.5, UDC=0.5) <- equilibrium(model=m, data=election, coal=coal1, alpha=alpha1) # model 3: colation behaviours coal1 <- list(fi=1, UL=2, RC=2, AN=1, UDC=1) alpha1 <- list(fi=0.7, UL=0.8, RC=0.1, AN=0.5, UDC=0.9) <- equilibrium(model=m, data=election, coal=coal1, alpha=alpha1)
![9, 347 61 See Also See Also as plot. Examples ## Not run: data(italy2006) str(italy2006) italy2006[1:2,1:14] election <- mlogit.](/docs-images/47/20327200/images/page_4.jpg "data(italy2006, shape=\"wide\", choice=\"vote\", varying=c(5:14), sep=\"_\") str(election) m <- mlogit(vote~prox+partyid gov_perf+sex+age+education, election, reflevel = \"UL\") summary(m) true.")
5 italy # model 4: rivals tends to separate each other <- equilibrium(model=m, data=election, margin=list(fi="ul", UL="FI")) # model 5: fixed position averaged with Nash equilibrium solution <- equilibrium(model=m, data=election, fixed=list(rc=1), gamma=0.2) # model 6: rivals tends to separate each other with # fixed position averaged with Nash equilibrium solution <- equilibrium(model=m, data=election, margin=list(fi="ul", UL="FI"), fixed=list(rc=1), gamma=0.2) # model 7: coalition and fixed position averaged with # Nash equilibrium solution coal1 <- list(fi=1, UL=2, RC=2, AN=1, UDC=1) alpha1 <- list(fi=0.7, UL=0.8, RC=0.5, AN=0.5, UDC=0.5) <- equilibrium(model=m, data=election, coal=coal1, alpha=alpha1, fixed=list(rc=1), gamma=0.2) # model 8: Bootstrap analysis <- equilibrium(model=m, data=election, boot=10) # model 9: Monte Carlo simulation <- equilibrium(model=m, data=election, MC=10) ## End(Not run) italy Italian General Election survey 2006 Italian General Election survey, with quadratic ideological proximity. Usage data(italy2006) Format A data frame with 438 observations on the following 18 variables. country country name id id of respondent vote a factor with levels FI UL AN UDC RC for each party voted
6 6 italy2006 self self-placement of respondent on a 0 to 10 left-right scale prox_fi see Details. prox_ul see Details. prox_an see Details. prox_udc see Details. prox_rc see Details. partyid_fi see Details. partyid_ul see Details. partyid_an see Details. partyid_udc see Details. partyid_rc see Details. sex gender variable 1 = female age see Details. education see Details. gov_perf see Details. Details In this survey respondents were asked to indicate which party they voted for in the 2006 Election. The data concerns 5 parties: UL (Ulivo), RC (Communist Refoundation party), FI (Forza Italia), AN (National Alliance) and UDC (Union of Christian Democrats). prox_* quadratic ideological distance between the respondent and a party * placement partyid_* binary variable equals to 1 if the respondent declares to feel herself close to party * age : 1 = "18-24 years", 2 = "25-34", 3 = "35-44", 4 = "45-54", 5 = "55-64", 6 = "65 +" education : 0 = "up to primary school", 1 = "incomplete secondary", 2 = "secondary completed", 3 = "post-secondary trade", 4 = "university undergraduate degree inc", 5 = "university undergraduate degree comp" gov_perf : 1 = "very good job", 2 = "good job", 3 = "bad job", 4 = "very bad job" Source CSES - Comparative Study of Electoral Systems: Examples data(italy2006) head(italy2006)
7 italy2006.lin 7 italy2006.lin 2006 Italian General Election survey Usage Format Details 2006 Italian General Election survey, with linear ideological proximity. data(italy2006.lin) A data frame with 438 observations on the following 18 variables. country country name id id of respondent vote a factor with levels FI UL AN UDC RC for each party voted self self-placement of respondent on a 0 to 10 left-right scale proxlin_fi see Details. proxlin_ul see Details. proxlin_an see Details. proxlin_udc see Details. proxlin_rc see Details. partyid_fi see Details. partyid_ul see Details. partyid_an see Details. partyid_udc see Details. partyid_rc see Details. sex gender variable 1 = female age see Details. education see Details. gov_perf see Details. In this survey respondents were asked to indicate which party they voted for in the 2006 Election. The data concerns 5 parties: UL (Ulivo), RC (Communist Refoundation party), FI (Forza Italia), AN (National Alliance) and UDC (Union of Christian Democrats). prox_* linear ideological distance between the respondent and a party * placement partyid_* binary variable equals to 1 if the respondent declares to feel herself close to party *
8 8 italy2006.wide Source age : 1 = "18-24 years", 2 = "25-34", 3 = "35-44", 4 = "45-54", 5 = "55-64", 6 = "65 +" education : 0 = "up to primary school", 1 = "incomplete secondary", 2 = "secondary completed", 3 = "post-secondary trade", 4 = "university undergraduate degree inc", 5 = "university undergraduate degree comp" gov_perf : 1 = "very good job", 2 = "good job", 3 = "bad job", 4 = "very bad job" CSES - Comparative Study of Electoral Systems: Examples data(italy2006.lin) head(italy2006.lin) ## maybe str(italy2006.lin) ; plot(italy2006.lin)... italy2006.wide 2006 Italian General Election survey 2006 Italian General Election survey - wide format Usage data(italy2006.wide) Format A data frame with 524 observations on the following 15 variables. country country name id id of respondent vote a factor with levels FI UL AN UDC RC for each party voted self self-placement of respondent on a 0 to 10 left-right scale FI see Details. DS see Details. AN see Details. DL see Details. UDC see Details. RC see Details. pid see Details. sex gender variable 1 = female age see Details. education see Details. gov_perf see Details.
9 noppnews 9 Details In this survey respondents were asked to indicate which party they voted for in the 2006 Election. The data concerns 5 parties: UL (Ulivo), RC (Communist Refoundation party), FI (Forza Italia), AN (National Alliance) and UDC (Union of Christian Democrats). The dataset is in wide format. variable from FI to RC identify the placement of those parties, on a 0 to 10 left-right scale, as perceived by the respondent. pid is a variable that identifies the partisanship of the respondent (where 0=stands for no partyid, 1 = FI partyid, 23 = UL partyid, 3 = AN partyid, 4 = UDC partyid, 6 = RC partyid) age : 1 = "18-24 years", 2 = "25-34", 3 = "35-44", 4 = "45-54", 5 = "55-64", 6 = "65 +" education : 0 = "up to primary school", 1 = "incomplete secondary", 2 = "secondary completed", 3 = "post-secondary trade", 4 = "university undergraduate degree inc", 5 = "university undergraduate degree comp" gov_perf : 1 = "very good job", 2 = "good job", 3 = "bad job", 4 = "very bad job" Source CSES - Comparative Study of Electoral Systems: Examples data(italy2006.wide) head(italy2006.wide) ## maybe str(italy2006.wide) ; plot(italy2006.wide)... noppnews Show the NEWS file Show the NEWS file of the nopp package. Usage noppnews() Value None.
10 10 plot. plot. Plot function for Nash equilibrium object Usage Plot function for Nash equilibrium object ## S3 method for class plot(x,...) Arguments x Details a object... additional arguments passed to the inner plot function See vignette. Author(s) See Also Luigi Curini, Stefano M. Iacus See Also as equilibrium Examples ## Not run: data(italy2006) election <- mlogit.data(italy2006, shape="wide", choice="vote", varying=c(5:14), sep="_") m <- mlogit(vote~prox+partyid gov_perf+sex+age+education, election, reflevel = "UL") true.pos <- list(fi=7.59, UL=3.50, RC=1.95, AN=8.08, UDC=5.66) true.votes <- list(fi=.24, UL=.40, RC=.10, AN=.18, UDC=.08) # comparison against true votes and party positions <- equilibrium(model=m, data=election, pos=true.pos, votes=true.votes) par(mfrow=c(3,1)) plot() # bootstrap confidence intervals <- equilibrium(model=m, data=election, boot=10)
11 plot. 11 plot() par(mfrow=c(1,1)) ## End(Not run)
12 Index Topic datasets italy2006, 5 italy2006.lin, 7 italy2006.wide, 8 Topic package nopp-package, 2 equilibrium, 2, 10 italy2006, 5 italy2006.lin, 7 italy2006.wide, 8 nopp (nopp-package), 2 nopp-package, 2 noppnews, 9 plot., 4, 10 12
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